Profiling Report

Dataset statistics

Number of variables	51
Number of observations	39717
Missing cells	118497
Missing cells (%)	5.9%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	15.5 MiB
Average record size in memory	408.0 B

Variable types

Numeric	25
Categorical	12
Text	7
DateTime	5
Boolean	2

Alerts

`pymnt_plan` has constant value ""	Constant
`initial_list_status` has constant value ""	Constant
`application_type` has constant value ""	Constant
`loan_status` is highly imbalanced (51.4%)	Imbalance
`pub_rec` is highly imbalanced (86.6%)	Imbalance
`pub_rec_bankruptcies` is highly imbalanced (83.7%)	Imbalance
`emp_title` has 2459 (6.2%) missing values	Missing
`emp_length` has 1075 (2.7%) missing values	Missing
`desc` has 12942 (32.6%) missing values	Missing
`mths_since_last_delinq` has 25682 (64.7%) missing values	Missing
`mths_since_last_record` has 36931 (93.0%) missing values	Missing
`next_pymnt_d` has 38577 (97.1%) missing values	Missing
`pub_rec_bankruptcies` has 697 (1.8%) missing values	Missing
`annual_inc` is highly skewed (γ1 = 30.9491846)	Skewed
`collection_recovery_fee` is highly skewed (γ1 = 25.02941576)	Skewed
`id` has unique values	Unique
`member_id` has unique values	Unique
`url` has unique values	Unique
`delinq_2yrs` has 35405 (89.1%) zeros	Zeros
`inq_last_6mths` has 19300 (48.6%) zeros	Zeros
`mths_since_last_delinq` has 443 (1.1%) zeros	Zeros
`mths_since_last_record` has 670 (1.7%) zeros	Zeros
`revol_bal` has 994 (2.5%) zeros	Zeros
`out_prncp` has 38577 (97.1%) zeros	Zeros
`out_prncp_inv` has 38577 (97.1%) zeros	Zeros
`total_rec_late_fee` has 37671 (94.8%) zeros	Zeros
`recoveries` has 35499 (89.4%) zeros	Zeros
`collection_recovery_fee` has 35935 (90.5%) zeros	Zeros

Reproduction

Analysis started	2024-04-10 11:29:49.607329
Analysis finished	2024-04-10 11:31:33.009795
Duration	1 minute and 43.4 seconds
Software version	ydata-profiling vv4.7.0
Download configuration	config.json

id
Real number (ℝ)

UNIQUE

Distinct	39717
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	683131.91

Minimum	54734
Maximum	1077501
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	310.4 KiB

Quantile statistics

Minimum	54734
5-th percentile	372418.4
Q1	516221
median	665665
Q3	837755
95-th percentile	1039966.2
Maximum	1077501
Range	1022767
Interquartile range (IQR)	321534

Descriptive statistics

Standard deviation	210694.13
Coefficient of variation (CV)	0.30842379
Kurtosis	-0.7298894
Mean	683131.91
Median Absolute Deviation (MAD)	160026
Skewness	0.078807632
Sum	2.713195 × 10¹⁰
Variance	4.4392018 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
69001	1	< 0.1%
588642	1	< 0.1%
583126	1	< 0.1%
587559	1	< 0.1%
588668	1	< 0.1%
588657	1	< 0.1%
588664	1	< 0.1%
588649	1	< 0.1%
588646	1	< 0.1%
588608	1	< 0.1%
Other values (39707)	39707	> 99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
54734	1	< 0.1%
55742	1	< 0.1%
57245	1	< 0.1%
57416	1	< 0.1%
58915	1	< 0.1%
59006	1	< 0.1%
61390	1	< 0.1%
61419	1	< 0.1%
62102	1	< 0.1%
65426	1	< 0.1%

Value	Count	Frequency (%)
1077501	1	< 0.1%
1077430	1	< 0.1%
1077175	1	< 0.1%
1076863	1	< 0.1%
1075358	1	< 0.1%
1075269	1	< 0.1%
1072053	1	< 0.1%
1071795	1	< 0.1%
1071570	1	< 0.1%
1070078	1	< 0.1%

member_id
Real number (ℝ)

UNIQUE

Distinct	39717
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	850463.56

Minimum	70699
Maximum	1314167
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	310.4 KiB

Quantile statistics

Minimum	70699
5-th percentile	388192.4
Q1	666780
median	850812
Q3	1047339
95-th percentile	1269461.8
Maximum	1314167
Range	1243468
Interquartile range (IQR)	380559

Descriptive statistics

Standard deviation	265678.31
Coefficient of variation (CV)	0.31239235
Kurtosis	-0.56296801
Mean	850463.56
Median Absolute Deviation (MAD)	190427
Skewness	-0.21241637
Sum	3.3777861 × 10¹⁰
Variance	7.0584963 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
265533	1	< 0.1%
756244	1	< 0.1%
749343	1	< 0.1%
754885	1	< 0.1%
756270	1	< 0.1%
756259	1	< 0.1%
756267	1	< 0.1%
756242	1	< 0.1%
756248	1	< 0.1%
756206	1	< 0.1%
Other values (39707)	39707	> 99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
70699	1	< 0.1%
73673	1	< 0.1%
74724	1	< 0.1%
76583	1	< 0.1%
80353	1	< 0.1%
80364	1	< 0.1%
84914	1	< 0.1%
85483	1	< 0.1%
86999	1	< 0.1%
89243	1	< 0.1%

Value	Count	Frequency (%)
1314167	1	< 0.1%
1313524	1	< 0.1%
1311748	1	< 0.1%
1311441	1	< 0.1%
1306957	1	< 0.1%
1306721	1	< 0.1%
1305201	1	< 0.1%
1305008	1	< 0.1%
1304956	1	< 0.1%
1304884	1	< 0.1%

loan_amnt
Real number (ℝ)

Distinct	885
Distinct (%)	2.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11219.444

Minimum	500
Maximum	35000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	310.4 KiB

Quantile statistics

Minimum	500
5-th percentile	2400
Q1	5500
median	10000
Q3	15000
95-th percentile	25000
Maximum	35000
Range	34500
Interquartile range (IQR)	9500

Descriptive statistics

Standard deviation	7456.6707
Coefficient of variation (CV)	0.66462035
Kurtosis	0.76866855
Mean	11219.444
Median Absolute Deviation (MAD)	5000
Skewness	1.0593173
Sum	4.4560265 × 10⁸
Variance	55601938
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10000	2833	7.1%
12000	2334	5.9%
5000	2051	5.2%
6000	1908	4.8%
15000	1895	4.8%
20000	1626	4.1%
8000	1586	4.0%
25000	1390	3.5%
4000	1130	2.8%
3000	1030	2.6%
Other values (875)	21934	55.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
500	5	< 0.1%
700	1	< 0.1%
725	1	< 0.1%
750	1	< 0.1%
800	1	< 0.1%
900	2	< 0.1%
950	1	< 0.1%
1000	301	0.8%
1050	4	< 0.1%
1075	1	< 0.1%

Value	Count	Frequency (%)
35000	679	1.7%
34800	2	< 0.1%
34675	1	< 0.1%
34525	1	< 0.1%
34475	5	< 0.1%
34200	1	< 0.1%
34000	15	< 0.1%
33950	9	< 0.1%
33600	6	< 0.1%
33500	2	< 0.1%

funded_amnt
Real number (ℝ)

Distinct	1041
Distinct (%)	2.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10947.713

Minimum	500
Maximum	35000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	310.4 KiB

Quantile statistics

Minimum	500
5-th percentile	2400
Q1	5400
median	9600
Q3	15000
95-th percentile	25000
Maximum	35000
Range	34500
Interquartile range (IQR)	9600

Descriptive statistics

Standard deviation	7187.2387
Coefficient of variation (CV)	0.65650593
Kurtosis	0.93755199
Mean	10947.713
Median Absolute Deviation (MAD)	4600
Skewness	1.0817102
Sum	4.3481032 × 10⁸
Variance	51656400
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10000	2741	6.9%
12000	2244	5.6%
5000	2040	5.1%
6000	1898	4.8%
15000	1784	4.5%
8000	1573	4.0%
20000	1456	3.7%
25000	1133	2.9%
4000	1127	2.8%
3000	1022	2.6%
Other values (1031)	22699	57.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
500	5	< 0.1%
700	1	< 0.1%
725	1	< 0.1%
750	1	< 0.1%
800	1	< 0.1%
900	2	< 0.1%
950	1	< 0.1%
1000	302	0.8%
1050	5	< 0.1%
1075	1	< 0.1%

Value	Count	Frequency (%)
35000	554	1.4%
34800	1	< 0.1%
34675	2	< 0.1%
34525	1	< 0.1%
34475	4	< 0.1%
34250	1	< 0.1%
34000	14	< 0.1%
33950	6	< 0.1%
33600	6	< 0.1%
33500	1	< 0.1%

funded_amnt_inv
Real number (ℝ)

Distinct	7940
Distinct (%)	20.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10397.449

Minimum	0
Maximum	35000
Zeros	142
Zeros (%)	0.4%
Negative	0
Negative (%)	0.0%
Memory size	310.4 KiB

Quantile statistics

Minimum	0
5-th percentile	1873.658
Q1	5000
median	8975
Q3	14400
95-th percentile	24736.572
Maximum	35000
Range	35000
Interquartile range (IQR)	9400

Descriptive statistics

Standard deviation	7128.4504
Coefficient of variation (CV)	0.6855961
Kurtosis	1.0625444
Mean	10397.449
Median Absolute Deviation (MAD)	4200
Skewness	1.1062129
Sum	4.1295548 × 10⁸
Variance	50814806
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5000	1309	3.3%
10000	1275	3.2%
6000	1200	3.0%
12000	1069	2.7%
8000	900	2.3%
4000	813	2.0%
3000	804	2.0%
15000	659	1.7%
7000	600	1.5%
2000	453	1.1%
Other values (7930)	30635	77.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	142	0.4%
0.01	7	< 0.1%
0.48	1	< 0.1%
12	1	< 0.1%
18.04	1	< 0.1%
23.99	1	< 0.1%
25	1	< 0.1%
32.33	1	< 0.1%
42.81	1	< 0.1%
50.34	1	< 0.1%

Value	Count	Frequency (%)
35000	135	0.3%
34997.35	1	< 0.1%
34993.66	1	< 0.1%
34993.33	1	< 0.1%
34993.26	1	< 0.1%
34993.2	1	< 0.1%
34990.43	1	< 0.1%
34987.98	1	< 0.1%
34987.27	1	< 0.1%
34977.35	1	< 0.1%

term
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	310.4 KiB

36 months	29096
60 months	10621

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	397170
Distinct characters	10
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	36 months
2nd row	36 months
3rd row	36 months
4th row	36 months
5th row	36 months

Common Values

Value	Count	Frequency (%)
36 months	29096	73.3%
60 months	10621	26.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
months	39717	50.0%
36	29096	36.6%
60	10621	13.4%

Most occurring characters

Value	Count	Frequency (%)
	79434	20.0%
6	39717	10.0%
m	39717	10.0%
o	39717	10.0%
n	39717	10.0%
t	39717	10.0%
h	39717	10.0%
s	39717	10.0%
3	29096	7.3%
0	10621	2.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	238302	60.0%
Space Separator	79434	20.0%
Decimal Number	79434	20.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
m	39717	16.7%
o	39717	16.7%
n	39717	16.7%
t	39717	16.7%
h	39717	16.7%
s	39717	16.7%

Decimal Number

Value	Count	Frequency (%)
6	39717	50.0%
3	29096	36.6%
0	10621	13.4%

Space Separator

Value	Count	Frequency (%)
	79434	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	238302	60.0%
Common	158868	40.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
m	39717	16.7%
o	39717	16.7%
n	39717	16.7%
t	39717	16.7%
h	39717	16.7%
s	39717	16.7%

Common

Value	Count	Frequency (%)
	79434	50.0%
6	39717	25.0%
3	29096	18.3%
0	10621	6.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	397170	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	79434	20.0%
6	39717	10.0%
m	39717	10.0%
o	39717	10.0%
n	39717	10.0%
t	39717	10.0%
h	39717	10.0%
s	39717	10.0%
3	29096	7.3%
0	10621	2.7%

int_rate
Text

Distinct	371
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	310.4 KiB

Length

Max length	6
Median length	6
Mean length	5.6942871
Min length	5

Characters and Unicode

Total characters	226160
Distinct characters	12
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	17 ?
Unique (%)	< 0.1%

Sample

1st row	8.94%
2nd row	14.26%
3rd row	11.14%
4th row	13.17%
5th row	8.00%

Value	Count	Frequency (%)
10.99	956	2.4%
13.49	826	2.1%
11.49	825	2.1%
7.51	787	2.0%
7.88	725	1.8%
7.49	656	1.7%
11.71	607	1.5%
9.99	603	1.5%
7.90	582	1.5%
5.42	573	1.4%
Other values (361)	32577	82.0%

Most occurring characters

Value	Count	Frequency (%)
.	39717	17.6%
%	39717	17.6%
1	38195	16.9%
9	21893	9.7%
2	12734	5.6%
7	12132	5.4%
6	12033	5.3%
4	11091	4.9%
5	9947	4.4%
3	9929	4.4%
Other values (2)	18772	8.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	146726	64.9%
Other Punctuation	79434	35.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	38195	26.0%
9	21893	14.9%
2	12734	8.7%
7	12132	8.3%
6	12033	8.2%
4	11091	7.6%
5	9947	6.8%
3	9929	6.8%
8	9527	6.5%
0	9245	6.3%

Other Punctuation

Value	Count	Frequency (%)
.	39717	50.0%
%	39717	50.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	226160	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	39717	17.6%
%	39717	17.6%
1	38195	16.9%
9	21893	9.7%
2	12734	5.6%
7	12132	5.4%
6	12033	5.3%
4	11091	4.9%
5	9947	4.4%
3	9929	4.4%
Other values (2)	18772	8.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	226160	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	39717	17.6%
%	39717	17.6%
1	38195	16.9%
9	21893	9.7%
2	12734	5.6%
7	12132	5.4%
6	12033	5.3%
4	11091	4.9%
5	9947	4.4%
3	9929	4.4%
Other values (2)	18772	8.3%

installment
Real number (ℝ)

Distinct	15383
Distinct (%)	38.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	324.56192

Minimum	15.69
Maximum	1305.19
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	310.4 KiB

Quantile statistics

Minimum	15.69
5-th percentile	71.246
Q1	167.02
median	280.22
Q3	430.78
95-th percentile	762.996
Maximum	1305.19
Range	1289.5
Interquartile range (IQR)	263.76

Descriptive statistics

Standard deviation	208.87487
Coefficient of variation (CV)	0.64355939
Kurtosis	1.2468013
Mean	324.56192
Median Absolute Deviation (MAD)	123.2
Skewness	1.1284191
Sum	12890626
Variance	43628.713
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
311.11	68	0.2%
180.96	59	0.1%
311.02	54	0.1%
150.8	48	0.1%
368.45	46	0.1%
372.12	45	0.1%
330.76	43	0.1%
339.31	42	0.1%
301.6	41	0.1%
317.72	41	0.1%
Other values (15373)	39230	98.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
15.69	1	< 0.1%
16.08	1	< 0.1%
16.25	1	< 0.1%
16.31	1	< 0.1%
16.47	1	< 0.1%
19.87	1	< 0.1%
20.22	1	< 0.1%
21.25	1	< 0.1%
21.74	1	< 0.1%
21.81	1	< 0.1%

Value	Count	Frequency (%)
1305.19	1	< 0.1%
1302.69	1	< 0.1%
1295.21	1	< 0.1%
1288.1	2	< 0.1%
1283.5	1	< 0.1%
1276.6	3	< 0.1%
1272.2	1	< 0.1%
1269.73	5	< 0.1%
1265.16	1	< 0.1%
1263.23	1	< 0.1%

grade
Categorical

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	310.4 KiB

B	12020
A	10085
C	8098
D	5307
E	2842
Other values (2)	1365

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	39717
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	A
2nd row	C
3rd row	B
4th row	D
5th row	A

Common Values

Value	Count	Frequency (%)
B	12020	30.3%
A	10085	25.4%
C	8098	20.4%
D	5307	13.4%
E	2842	7.2%
F	1049	2.6%
G	316	0.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
b	12020	30.3%
a	10085	25.4%
c	8098	20.4%
d	5307	13.4%
e	2842	7.2%
f	1049	2.6%
g	316	0.8%

Most occurring characters

Value	Count	Frequency (%)
B	12020	30.3%
A	10085	25.4%
C	8098	20.4%
D	5307	13.4%
E	2842	7.2%
F	1049	2.6%
G	316	0.8%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	39717	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
B	12020	30.3%
A	10085	25.4%
C	8098	20.4%
D	5307	13.4%
E	2842	7.2%
F	1049	2.6%
G	316	0.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	39717	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
B	12020	30.3%
A	10085	25.4%
C	8098	20.4%
D	5307	13.4%
E	2842	7.2%
F	1049	2.6%
G	316	0.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	39717	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
B	12020	30.3%
A	10085	25.4%
C	8098	20.4%
D	5307	13.4%
E	2842	7.2%
F	1049	2.6%
G	316	0.8%

sub_grade
Categorical

Distinct	35
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	310.4 KiB

B3	2917
A4	2886
A5	2742
B5	2704
B4	2512
Other values (30)	25956

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	79434
Distinct characters	12
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	A5
2nd row	C5
3rd row	B1
4th row	D2
5th row	A3

Common Values

Value	Count	Frequency (%)
B3	2917	7.3%
A4	2886	7.3%
A5	2742	6.9%
B5	2704	6.8%
B4	2512	6.3%
C1	2136	5.4%
B2	2057	5.2%
C2	2011	5.1%
B1	1830	4.6%
A3	1810	4.6%
Other values (25)	16112	40.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
b3	2917	7.3%
a4	2886	7.3%
a5	2742	6.9%
b5	2704	6.8%
b4	2512	6.3%
c1	2136	5.4%
b2	2057	5.2%
c2	2011	5.1%
b1	1830	4.6%
a3	1810	4.6%
Other values (25)	16112	40.6%

Most occurring characters

Value	Count	Frequency (%)
B	12020	15.1%
A	10085	12.7%
4	8293	10.4%
3	8215	10.3%
C	8098	10.2%
5	8070	10.2%
2	7907	10.0%
1	7232	9.1%
D	5307	6.7%
E	2842	3.6%
Other values (2)	1365	1.7%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	39717	50.0%
Decimal Number	39717	50.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
B	12020	30.3%
A	10085	25.4%
C	8098	20.4%
D	5307	13.4%
E	2842	7.2%
F	1049	2.6%
G	316	0.8%

Decimal Number

Value	Count	Frequency (%)
4	8293	20.9%
3	8215	20.7%
5	8070	20.3%
2	7907	19.9%
1	7232	18.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	39717	50.0%
Common	39717	50.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
B	12020	30.3%
A	10085	25.4%
C	8098	20.4%
D	5307	13.4%
E	2842	7.2%
F	1049	2.6%
G	316	0.8%

Common

Value	Count	Frequency (%)
4	8293	20.9%
3	8215	20.7%
5	8070	20.3%
2	7907	19.9%
1	7232	18.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	79434	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
B	12020	15.1%
A	10085	12.7%
4	8293	10.4%
3	8215	10.3%
C	8098	10.2%
5	8070	10.2%
2	7907	10.0%
1	7232	9.1%
D	5307	6.7%
E	2842	3.6%
Other values (2)	1365	1.7%

emp_title
Text

MISSING

Distinct	28820
Distinct (%)	77.4%
Missing	2459
Missing (%)	6.2%
Memory size	310.4 KiB

Length

Max length	78
Median length	55
Mean length	18.379784
Min length	2

Characters and Unicode

Total characters	684794
Distinct characters	96
Distinct categories	15 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	25641 ?
Unique (%)	68.8%

Sample

1st row	Infotrieve, Inc.
2nd row	UBS
3rd row	kmex/univision
4th row	GAP
5th row	State of Michigan

Value	Count	Frequency (%)
inc	3197	3.2%
of	3008	3.0%
	1208	1.2%
and	963	1.0%
center	818	0.8%
bank	805	0.8%
county	803	0.8%
services	795	0.8%
school	750	0.7%
the	747	0.7%
Other values (18882)	87491	87.0%

Most occurring characters

Value	Count	Frequency (%)
	64766	9.5%
e	55954	8.2%
a	43836	6.4%
n	42641	6.2%
o	42586	6.2%
i	40491	5.9%
r	40067	5.9%
t	38580	5.6%
s	30254	4.4%
l	25923	3.8%
Other values (86)	259696	37.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	489338	71.5%
Uppercase Letter	119545	17.5%
Space Separator	64766	9.5%
Other Punctuation	8798	1.3%
Dash Punctuation	1031	0.2%
Decimal Number	968	0.1%
Open Punctuation	159	< 0.1%
Close Punctuation	156	< 0.1%
Math Symbol	21	< 0.1%
Modifier Symbol	2	< 0.1%
Other values (5)	10	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
C	14579	12.2%
S	13325	11.1%
A	8885	7.4%
I	7566	6.3%
M	6518	5.5%
P	6077	5.1%
T	5691	4.8%
L	5561	4.7%
E	5241	4.4%
D	5056	4.2%
Other values (18)	41046	34.3%

Lowercase Letter

Value	Count	Frequency (%)
e	55954	11.4%
a	43836	9.0%
n	42641	8.7%
o	42586	8.7%
i	40491	8.3%
r	40067	8.2%
t	38580	7.9%
s	30254	6.2%
l	25923	5.3%
c	23099	4.7%
Other values (17)	105907	21.6%

Other Punctuation

Value	Count	Frequency (%)
.	4253	48.3%
,	2194	24.9%
&	1301	14.8%
'	652	7.4%
/	311	3.5%
#	36	0.4%
@	10	0.1%
:	9	0.1%
!	8	0.1%
"	8	0.1%
Other values (5)	16	0.2%

Decimal Number

Value	Count	Frequency (%)
1	192	19.8%
2	161	16.6%
3	155	16.0%
0	98	10.1%
4	91	9.4%
5	72	7.4%
9	62	6.4%
6	58	6.0%
7	46	4.8%
8	33	3.4%

Math Symbol

Value	Count	Frequency (%)
+	18	85.7%
\|	2	9.5%
<	1	4.8%

Open Punctuation

Value	Count	Frequency (%)
(	158	99.4%
[	1	0.6%

Control

Value	Count	Frequency (%)
	1	50.0%
	1	50.0%

Currency Symbol

Value	Count	Frequency (%)
¢	1	50.0%
$	1	50.0%

Space Separator

Value	Count	Frequency (%)
	64766	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1031	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	156	100.0%

Modifier Symbol

Value	Count	Frequency (%)
`	2	100.0%

Other Symbol

Value	Count	Frequency (%)
©	2	100.0%

Other Number

Value	Count	Frequency (%)
²	2	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	608883	88.9%
Common	75911	11.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	55954	9.2%
a	43836	7.2%
n	42641	7.0%
o	42586	7.0%
i	40491	6.7%
r	40067	6.6%
t	38580	6.3%
s	30254	5.0%
l	25923	4.3%
c	23099	3.8%
Other values (45)	225452	37.0%

Common

Value	Count	Frequency (%)
	64766	85.3%
.	4253	5.6%
,	2194	2.9%
&	1301	1.7%
-	1031	1.4%
'	652	0.9%
/	311	0.4%
1	192	0.3%
2	161	0.2%
(	158	0.2%
Other values (31)	892	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	684780	> 99.9%
None	14	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	64766	9.5%
e	55954	8.2%
a	43836	6.4%
n	42641	6.2%
o	42586	6.2%
i	40491	5.9%
r	40067	5.9%
t	38580	5.6%
s	30254	4.4%
l	25923	3.8%
Other values (77)	259682	37.9%

None

Value	Count	Frequency (%)
Ã	3	21.4%
©	2	14.3%
²	2	14.3%
Â	2	14.3%
	1	7.1%
¢	1	7.1%
â	1	7.1%
	1	7.1%
¡	1	7.1%

emp_length
Categorical

MISSING

Distinct	11
Distinct (%)	< 0.1%
Missing	1075
Missing (%)	2.7%
Memory size	310.4 KiB

10+ years	8879
< 1 year	4583
2 years	4388
3 years	4095
4 years	3436
Other values (6)	13261

Length

Max length	9
Median length	7
Mean length	7.4943067
Min length	6

Characters and Unicode

Total characters	289595
Distinct characters	18
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	< 1 year
2nd row	3 years
3rd row	< 1 year
4th row	10+ years
5th row	< 1 year

Common Values

Value	Count	Frequency (%)
10+ years	8879	22.4%
< 1 year	4583	11.5%
2 years	4388	11.0%
3 years	4095	10.3%
4 years	3436	8.7%
5 years	3282	8.3%
1 year	3240	8.2%
6 years	2229	5.6%
7 years	1773	4.5%
8 years	1479	3.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
years	30819	37.6%
10	8879	10.8%
1	7823	9.6%
year	7823	9.6%
	4583	5.6%
2	4388	5.4%
3	4095	5.0%
4	3436	4.2%
5	3282	4.0%
6	2229	2.7%
Other values (3)	4510	5.5%

Most occurring characters

Value	Count	Frequency (%)
	43225	14.9%
y	38642	13.3%
e	38642	13.3%
a	38642	13.3%
r	38642	13.3%
s	30819	10.6%
1	16702	5.8%
0	8879	3.1%
+	8879	3.1%
<	4583	1.6%
Other values (8)	21940	7.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	185387	64.0%
Decimal Number	47521	16.4%
Space Separator	43225	14.9%
Math Symbol	13462	4.6%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	16702	35.1%
0	8879	18.7%
2	4388	9.2%
3	4095	8.6%
4	3436	7.2%
5	3282	6.9%
6	2229	4.7%
7	1773	3.7%
8	1479	3.1%
9	1258	2.6%

Lowercase Letter

Value	Count	Frequency (%)
y	38642	20.8%
e	38642	20.8%
a	38642	20.8%
r	38642	20.8%
s	30819	16.6%

Math Symbol

Value	Count	Frequency (%)
+	8879	66.0%
<	4583	34.0%

Space Separator

Value	Count	Frequency (%)
	43225	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	185387	64.0%
Common	104208	36.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
	43225	41.5%
1	16702	16.0%
0	8879	8.5%
+	8879	8.5%
<	4583	4.4%
2	4388	4.2%
3	4095	3.9%
4	3436	3.3%
5	3282	3.1%
6	2229	2.1%
Other values (3)	4510	4.3%

Latin

Value	Count	Frequency (%)
y	38642	20.8%
e	38642	20.8%
a	38642	20.8%
r	38642	20.8%
s	30819	16.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	289595	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	43225	14.9%
y	38642	13.3%
e	38642	13.3%
a	38642	13.3%
r	38642	13.3%
s	30819	10.6%
1	16702	5.8%
0	8879	3.1%
+	8879	3.1%
<	4583	1.6%
Other values (8)	21940	7.6%

home_ownership
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	310.4 KiB

RENT	18899
MORTGAGE	17659
OWN	3058
OTHER	98
NONE	3

Length

Max length	8
Median length	5
Mean length	5.7039555
Min length	3

Characters and Unicode

Total characters	226544
Distinct characters	10
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	MORTGAGE
2nd row	MORTGAGE
3rd row	MORTGAGE
4th row	RENT
5th row	MORTGAGE

Common Values

Value	Count	Frequency (%)
RENT	18899	47.6%
MORTGAGE	17659	44.5%
OWN	3058	7.7%
OTHER	98	0.2%
NONE	3	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
rent	18899	47.6%
mortgage	17659	44.5%
own	3058	7.7%
other	98	0.2%
none	3	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
E	36659	16.2%
R	36656	16.2%
T	36656	16.2%
G	35318	15.6%
N	21963	9.7%
O	20818	9.2%
M	17659	7.8%
A	17659	7.8%
W	3058	1.3%
H	98	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	226544	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
E	36659	16.2%
R	36656	16.2%
T	36656	16.2%
G	35318	15.6%
N	21963	9.7%
O	20818	9.2%
M	17659	7.8%
A	17659	7.8%
W	3058	1.3%
H	98	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	226544	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	36659	16.2%
R	36656	16.2%
T	36656	16.2%
G	35318	15.6%
N	21963	9.7%
O	20818	9.2%
M	17659	7.8%
A	17659	7.8%
W	3058	1.3%
H	98	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	226544	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
E	36659	16.2%
R	36656	16.2%
T	36656	16.2%
G	35318	15.6%
N	21963	9.7%
O	20818	9.2%
M	17659	7.8%
A	17659	7.8%
W	3058	1.3%
H	98	< 0.1%

annual_inc
Real number (ℝ)

SKEWED

Distinct	5318
Distinct (%)	13.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	68968.926

Minimum	4000
Maximum	6000000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	310.4 KiB

Quantile statistics

Minimum	4000
5-th percentile	24000
Q1	40404
median	59000
Q3	82300
95-th percentile	142000
Maximum	6000000
Range	5996000
Interquartile range (IQR)	41896

Descriptive statistics

Standard deviation	63793.766
Coefficient of variation (CV)	0.92496388
Kurtosis	2302.7378
Mean	68968.926
Median Absolute Deviation (MAD)	20000
Skewness	30.949185
Sum	2.7392388 × 10⁹
Variance	4.0696446 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
60000	1505	3.8%
50000	1057	2.7%
40000	876	2.2%
45000	830	2.1%
30000	825	2.1%
75000	811	2.0%
65000	803	2.0%
70000	733	1.8%
48000	723	1.8%
80000	662	1.7%
Other values (5308)	30892	77.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4000	1	< 0.1%
4080	1	< 0.1%
4200	2	< 0.1%
4800	4	< 0.1%
4888	1	< 0.1%
5000	1	< 0.1%
5500	1	< 0.1%
6000	5	< 0.1%
7000	1	< 0.1%
7200	4	< 0.1%

Value	Count	Frequency (%)
6000000	1	< 0.1%
3900000	1	< 0.1%
2039784	1	< 0.1%
1900000	1	< 0.1%
1782000	1	< 0.1%
1440000	1	< 0.1%
1362000	1	< 0.1%
1250000	1	< 0.1%
1200000	4	< 0.1%
1176000	1	< 0.1%

verification_status
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	310.4 KiB

Not Verified	16921
Verified	12809
Source Verified	9987

Length

Max length	15
Median length	12
Mean length	11.464335
Min length	8

Characters and Unicode

Total characters	455329
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Not Verified
2nd row	Not Verified
3rd row	Not Verified
4th row	Verified
5th row	Not Verified

Common Values

Value	Count	Frequency (%)
Not Verified	16921	42.6%
Verified	12809	32.3%
Source Verified	9987	25.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
verified	39717	59.6%
not	16921	25.4%
source	9987	15.0%

Most occurring characters

Value	Count	Frequency (%)
e	89421	19.6%
i	79434	17.4%
r	49704	10.9%
V	39717	8.7%
f	39717	8.7%
d	39717	8.7%
o	26908	5.9%
	26908	5.9%
N	16921	3.7%
t	16921	3.7%
Other values (3)	29961	6.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	361796	79.5%
Uppercase Letter	66625	14.6%
Space Separator	26908	5.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	89421	24.7%
i	79434	22.0%
r	49704	13.7%
f	39717	11.0%
d	39717	11.0%
o	26908	7.4%
t	16921	4.7%
u	9987	2.8%
c	9987	2.8%

Uppercase Letter

Value	Count	Frequency (%)
V	39717	59.6%
N	16921	25.4%
S	9987	15.0%

Space Separator

Value	Count	Frequency (%)
	26908	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	428421	94.1%
Common	26908	5.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	89421	20.9%
i	79434	18.5%
r	49704	11.6%
V	39717	9.3%
f	39717	9.3%
d	39717	9.3%
o	26908	6.3%
N	16921	3.9%
t	16921	3.9%
S	9987	2.3%
Other values (2)	19974	4.7%

Common

Value	Count	Frequency (%)
	26908	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	455329	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	89421	19.6%
i	79434	17.4%
r	49704	10.9%
V	39717	8.7%
f	39717	8.7%
d	39717	8.7%
o	26908	5.9%
	26908	5.9%
N	16921	3.7%
t	16921	3.7%
Other values (3)	29961	6.6%

issue_d
Date

Distinct	55
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	310.4 KiB

Minimum	2007-01-06 00:00:00
Maximum	2011-01-12 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

loan_status
Categorical

IMBALANCE

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	310.4 KiB

Fully Paid	32950
Charged Off	5627
Current	1140

Length

Max length	11
Median length	10
Mean length	10.055568
Min length	7

Characters and Unicode

Total characters	399377
Distinct characters	18
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Fully Paid
2nd row	Fully Paid
3rd row	Charged Off
4th row	Fully Paid
5th row	Fully Paid

Common Values

Value	Count	Frequency (%)
Fully Paid	32950	83.0%
Charged Off	5627	14.2%
Current	1140	2.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
fully	32950	42.1%
paid	32950	42.1%
charged	5627	7.2%
off	5627	7.2%
current	1140	1.5%

Most occurring characters

Value	Count	Frequency (%)
l	65900	16.5%
	38577	9.7%
a	38577	9.7%
d	38577	9.7%
u	34090	8.5%
F	32950	8.3%
y	32950	8.3%
P	32950	8.3%
i	32950	8.3%
f	11254	2.8%
Other values (8)	40602	10.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	282506	70.7%
Uppercase Letter	78294	19.6%
Space Separator	38577	9.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
l	65900	23.3%
a	38577	13.7%
d	38577	13.7%
u	34090	12.1%
y	32950	11.7%
i	32950	11.7%
f	11254	4.0%
r	7907	2.8%
e	6767	2.4%
g	5627	2.0%
Other values (3)	7907	2.8%

Uppercase Letter

Value	Count	Frequency (%)
F	32950	42.1%
P	32950	42.1%
C	6767	8.6%
O	5627	7.2%

Space Separator

Value	Count	Frequency (%)
	38577	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	360800	90.3%
Common	38577	9.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
l	65900	18.3%
a	38577	10.7%
d	38577	10.7%
u	34090	9.4%
F	32950	9.1%
y	32950	9.1%
P	32950	9.1%
i	32950	9.1%
f	11254	3.1%
r	7907	2.2%
Other values (7)	32695	9.1%

Common

Value	Count	Frequency (%)
	38577	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	399377	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
l	65900	16.5%
	38577	9.7%
a	38577	9.7%
d	38577	9.7%
u	34090	8.5%
F	32950	8.3%
y	32950	8.3%
P	32950	8.3%
i	32950	8.3%
f	11254	2.8%
Other values (8)	40602	10.2%

pymnt_plan
Boolean

CONSTANT

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	38.9 KiB

False	39717

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
False	39717	100.0%

url
Text

UNIQUE

Distinct	39717
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	310.4 KiB

Length

Max length	64
Median length	63
Mean length	63.108367
Min length	62

Characters and Unicode

Total characters	2506475
Distinct characters	35
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	39717 ?
Unique (%)	100.0%

Sample

1st row	https://lendingclub.com/browse/loanDetail.action?loan_id=69001
2nd row	https://lendingclub.com/browse/loanDetail.action?loan_id=59006
3rd row	https://lendingclub.com/browse/loanDetail.action?loan_id=65426
4th row	https://lendingclub.com/browse/loanDetail.action?loan_id=68926
5th row	https://lendingclub.com/browse/loanDetail.action?loan_id=69251

Value	Count	Frequency (%)
https://lendingclub.com/browse/loandetail.action?loan_id=69001	1	< 0.1%
https://lendingclub.com/browse/loandetail.action?loan_id=69924	1	< 0.1%
https://lendingclub.com/browse/loandetail.action?loan_id=281384	1	< 0.1%
https://lendingclub.com/browse/loandetail.action?loan_id=281565	1	< 0.1%
https://lendingclub.com/browse/loandetail.action?loan_id=281651	1	< 0.1%
https://lendingclub.com/browse/loandetail.action?loan_id=65426	1	< 0.1%
https://lendingclub.com/browse/loandetail.action?loan_id=68926	1	< 0.1%
https://lendingclub.com/browse/loandetail.action?loan_id=69251	1	< 0.1%
https://lendingclub.com/browse/loandetail.action?loan_id=65640	1	< 0.1%
https://lendingclub.com/browse/loandetail.action?loan_id=69828	1	< 0.1%
Other values (39707)	39707	> 99.9%

Most occurring characters

Value	Count	Frequency (%)
o	198585	7.9%
l	198585	7.9%
n	198585	7.9%
a	158868	6.3%
t	158868	6.3%
/	158868	6.3%
i	158868	6.3%
c	119151	4.8%
e	119151	4.8%
.	79434	3.2%
Other values (25)	957512	38.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1826982	72.9%
Other Punctuation	317736	12.7%
Decimal Number	242606	9.7%
Uppercase Letter	39717	1.6%
Connector Punctuation	39717	1.6%
Math Symbol	39717	1.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	198585	10.9%
l	198585	10.9%
n	198585	10.9%
a	158868	8.7%
t	158868	8.7%
i	158868	8.7%
c	119151	6.5%
e	119151	6.5%
b	79434	4.3%
d	79434	4.3%
Other values (8)	357453	19.6%

Decimal Number

Value	Count	Frequency (%)
5	26616	11.0%
6	26607	11.0%
7	26037	10.7%
8	25774	10.6%
4	25584	10.5%
1	24160	10.0%
0	23856	9.8%
3	22052	9.1%
9	21694	8.9%
2	20226	8.3%

Other Punctuation

Value	Count	Frequency (%)
/	158868	50.0%
.	79434	25.0%
?	39717	12.5%
:	39717	12.5%

Uppercase Letter

Value	Count	Frequency (%)
D	39717	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	39717	100.0%

Math Symbol

Value	Count	Frequency (%)
=	39717	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1866699	74.5%
Common	639776	25.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	198585	10.6%
l	198585	10.6%
n	198585	10.6%
a	158868	8.5%
t	158868	8.5%
i	158868	8.5%
c	119151	6.4%
e	119151	6.4%
b	79434	4.3%
d	79434	4.3%
Other values (9)	397170	21.3%

Common

Value	Count	Frequency (%)
/	158868	24.8%
.	79434	12.4%
?	39717	6.2%
_	39717	6.2%
=	39717	6.2%
:	39717	6.2%
5	26616	4.2%
6	26607	4.2%
7	26037	4.1%
8	25774	4.0%
Other values (6)	137572	21.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2506475	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	198585	7.9%
l	198585	7.9%
n	198585	7.9%
a	158868	6.3%
t	158868	6.3%
/	158868	6.3%
i	158868	6.3%
c	119151	4.8%
e	119151	4.8%
.	79434	3.2%
Other values (25)	957512	38.2%

desc
Text

MISSING

Distinct	26526
Distinct (%)	99.1%
Missing	12942
Missing (%)	32.6%
Memory size	310.4 KiB

Length

Max length	3988
Median length	2248
Mean length	426.5256
Min length	1

Characters and Unicode

Total characters	11420223
Distinct characters	142
Distinct categories	17 ?
Distinct scripts	2 ?
Distinct blocks	4 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	26499 ?
Unique (%)	99.0%

Sample

1st row	Taking advantage of excellent credit to pay off credit card
2nd row	I am seeking to refinance a credit account which I closed with a balance when I rejected the new terms of the cardmember agreement. This closed account is adversely affecting my credit utilization percentage and I would prefer to move it to a fixed-rate loan. I am a software developer who has been in a stable position with the same company since 2004. I am up-to-date on all payments and am seeking only to reduce the interest rate of this debt. Thank you for your consideration.
3rd row	We currently have one car that is 19 years old and one that is 8 years old. The 19 year old car, which is the car my husband drives to his job at a local university, was just given about a month to live by our mechanic. We've gotten an amazing amount of use out of it but we will need to be sure to get a reliable vehicle before that one gives out. We hope to be able to donate it with some life left in it to a local non-profit. That is what we have done in the past with our old cars. Our mechanic will help us find a used car in great shape for around $10,000. We have saved about half of that but we really need to make a purchase soon. It would be fabulous to get a loan for a lower percentage rate than what our credit union offers. Currently that is probably about 11% for older vehicles. Thanks for considering us.
4th row	I need a loan to cover moving expenses such as buying new furniture, deposit on the apt etc.
5th row	Looking to pay bills with a lower rate and try a new type of lending. Please note my perfect credit history and ability to pay the account. Many Thanks Heather

Value	Count	Frequency (%)
i	77512	3.8%
to	71096	3.5%
a	54855	2.7%
the	54340	2.7%
and	54329	2.6%
my	51308	2.5%
on	49132	2.4%
	37238	1.8%
for	32774	1.6%
have	32490	1.6%
Other values (53986)	1535184	74.9%

Most occurring characters

Value	Count	Frequency (%)
	2121185	18.6%
e	953962	8.4%
a	714029	6.3%
o	709011	6.2%
t	649103	5.7%
n	612135	5.4%
r	589058	5.2%
i	496003	4.3%
s	426272	3.7%
d	397984	3.5%
Other values (132)	3751481	32.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	8135698	71.2%
Space Separator	2121258	18.6%
Decimal Number	346663	3.0%
Other Punctuation	326744	2.9%
Uppercase Letter	302770	2.7%
Math Symbol	140645	1.2%
Currency Symbol	16745	0.1%
Dash Punctuation	13032	0.1%
Close Punctuation	7337	0.1%
Open Punctuation	6727	0.1%
Other values (7)	2604	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
I	94559	31.2%
B	34778	11.5%
T	28474	9.4%
A	15522	5.1%
C	14303	4.7%
M	14262	4.7%
S	9642	3.2%
E	9211	3.0%
W	8830	2.9%
L	8656	2.9%
Other values (21)	64533	21.3%

Lowercase Letter

Value	Count	Frequency (%)
e	953962	11.7%
a	714029	8.8%
o	709011	8.7%
t	649103	8.0%
n	612135	7.5%
r	589058	7.2%
i	496003	6.1%
s	426272	5.2%
d	397984	4.9%
l	355636	4.4%
Other values (18)	2232505	27.4%

Other Punctuation

Value	Count	Frequency (%)
.	120658	36.9%
/	116441	35.6%
,	50144	15.3%
'	13317	4.1%
!	6738	2.1%
%	5704	1.7%
:	5281	1.6%
;	3357	1.0%
&	2616	0.8%
"	801	0.2%
Other values (10)	1687	0.5%

Control

Value	Count	Frequency (%)
	1287	60.5%
	411	19.3%
	191	9.0%
	38	1.8%
	37	1.7%
	35	1.6%
	27	1.3%
	27	1.3%
	23	1.1%
	15	0.7%
Other values (9)	37	1.7%

Decimal Number

Value	Count	Frequency (%)
0	104184	30.1%
1	97487	28.1%
2	36710	10.6%
5	21465	6.2%
3	17828	5.1%
9	16291	4.7%
4	13709	4.0%
6	13182	3.8%
7	12927	3.7%
8	12880	3.7%

Math Symbol

Value	Count	Frequency (%)
>	84845	60.3%
<	53870	38.3%
+	984	0.7%
=	615	0.4%
~	290	0.2%
¬	31	< 0.1%
\|	10	< 0.1%

Other Symbol

Value	Count	Frequency (%)
¦	96	83.5%
©	15	13.0%
�	2	1.7%
®	2	1.7%

Dash Punctuation

Value	Count	Frequency (%)
-	13017	99.9%
—	9	0.1%
–	6	< 0.1%

Close Punctuation

Value	Count	Frequency (%)
)	7290	99.4%
]	44	0.6%
}	3	< 0.1%

Open Punctuation

Value	Count	Frequency (%)
(	6681	99.3%
[	44	0.7%
{	2	< 0.1%

Modifier Symbol

Value	Count	Frequency (%)
`	13	68.4%
^	5	26.3%
¯	1	5.3%

Space Separator

Value	Count	Frequency (%)
	2121185	> 99.9%
	73	< 0.1%

Currency Symbol

Value	Count	Frequency (%)
$	16671	99.6%
¢	74	0.4%

Final Punctuation

Value	Count	Frequency (%)
’	78	81.2%
”	18	18.8%

Initial Punctuation

Value	Count	Frequency (%)
“	18	85.7%
‘	3	14.3%

Other Number

Value	Count	Frequency (%)
½	6	75.0%
¾	2	25.0%

Connector Punctuation

Value	Count	Frequency (%)
_	217	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	8438468	73.9%
Common	2981755	26.1%

Most frequent character per script

Common

Value	Count	Frequency (%)
	2121185	71.1%
.	120658	4.0%
/	116441	3.9%
0	104184	3.5%
1	97487	3.3%
>	84845	2.8%
<	53870	1.8%
,	50144	1.7%
2	36710	1.2%
5	21465	0.7%
Other values (73)	174766	5.9%

Latin

Value	Count	Frequency (%)
e	953962	11.3%
a	714029	8.5%
o	709011	8.4%
t	649103	7.7%
n	612135	7.3%
r	589058	7.0%
i	496003	5.9%
s	426272	5.1%
d	397984	4.7%
l	355636	4.2%
Other values (49)	2535275	30.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11418228	> 99.9%
None	1834	< 0.1%
Punctuation	159	< 0.1%
Specials	2	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	2121185	18.6%
e	953962	8.4%
a	714029	6.3%
o	709011	6.2%
t	649103	5.7%
n	612135	5.4%
r	589058	5.2%
i	496003	4.3%
s	426272	3.7%
d	397984	3.5%
Other values (86)	3749486	32.8%

None

Value	Count	Frequency (%)
â	438	23.9%
	411	22.4%
	191	10.4%
Â	127	6.9%
Ã	97	5.3%
¦	96	5.2%
¢	74	4.0%
	73	4.0%
	38	2.1%
	37	2.0%
Other values (27)	252	13.7%

Punctuation

Value	Count	Frequency (%)
’	78	49.1%
…	19	11.9%
“	18	11.3%
”	18	11.3%
—	9	5.7%
•	8	5.0%
–	6	3.8%
‘	3	1.9%

Specials

Value	Count	Frequency (%)
�	2	100.0%

purpose
Categorical

Distinct	14
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	310.4 KiB

debt_consolidation	18641
credit_card	5130
other	3993
home_improvement	2976
major_purchase	2187
Other values (9)	6790

Length

Max length	18
Median length	16
Mean length	13.736183
Min length	3

Characters and Unicode

Total characters	545560
Distinct characters	22
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	credit_card
2nd row	credit_card
3rd row	car
4th row	moving
5th row	other

Common Values

Value	Count	Frequency (%)
debt_consolidation	18641	46.9%
credit_card	5130	12.9%
other	3993	10.1%
home_improvement	2976	7.5%
major_purchase	2187	5.5%
small_business	1828	4.6%
car	1549	3.9%
wedding	947	2.4%
medical	693	1.7%
moving	583	1.5%
Other values (4)	1190	3.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
debt_consolidation	18641	46.9%
credit_card	5130	12.9%
other	3993	10.1%
home_improvement	2976	7.5%
major_purchase	2187	5.5%
small_business	1828	4.6%
car	1549	3.9%
wedding	947	2.4%
medical	693	1.7%
moving	583	1.5%
Other values (4)	1190	3.0%

Most occurring characters

Value	Count	Frequency (%)
o	69725	12.8%
d	50454	9.2%
i	50145	9.2%
t	50087	9.2%
n	44528	8.2%
e	43568	8.0%
c	34036	6.2%
a	33730	6.2%
_	30865	5.7%
s	28521	5.2%
Other values (12)	109901	20.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	514695	94.3%
Connector Punctuation	30865	5.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	69725	13.5%
d	50454	9.8%
i	50145	9.7%
t	50087	9.7%
n	44528	8.7%
e	43568	8.5%
c	34036	6.6%
a	33730	6.6%
s	28521	5.5%
l	23418	4.5%
Other values (11)	86483	16.8%

Connector Punctuation

Value	Count	Frequency (%)
_	30865	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	514695	94.3%
Common	30865	5.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	69725	13.5%
d	50454	9.8%
i	50145	9.7%
t	50087	9.7%
n	44528	8.7%
e	43568	8.5%
c	34036	6.6%
a	33730	6.6%
s	28521	5.5%
l	23418	4.5%
Other values (11)	86483	16.8%

Common

Value	Count	Frequency (%)
_	30865	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	545560	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	69725	12.8%
d	50454	9.2%
i	50145	9.2%
t	50087	9.2%
n	44528	8.2%
e	43568	8.0%
c	34036	6.2%
a	33730	6.2%
_	30865	5.7%
s	28521	5.2%
Other values (12)	109901	20.1%

title
Text

Distinct	19615
Distinct (%)	49.4%
Missing	11
Missing (%)	< 0.1%
Memory size	310.4 KiB

Length

Max length	80
Median length	72
Mean length	17.187327
Min length	1

Characters and Unicode

Total characters	682440
Distinct characters	108
Distinct categories	15 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	17624 ?
Unique (%)	44.4%

Sample

1st row	Revolving Debt
2nd row	Rejecting new cardmember agreement
3rd row	djp
4th row	tee_cee
5th row	NewOrganic

Value	Count	Frequency (%)
loan	10895	10.4%
debt	9245	8.8%
consolidation	8622	8.2%
credit	4604	4.4%
card	3341	3.2%
personal	2043	2.0%
home	1875	1.8%
pay	1344	1.3%
off	1259	1.2%
my	1133	1.1%
Other values (8935)	60203	57.6%

Most occurring characters

Value	Count	Frequency (%)
	66029	9.7%
o	65729	9.6%
n	55657	8.2%
e	54557	8.0%
a	50167	7.4%
i	43822	6.4%
t	42600	6.2%
d	30679	4.5%
r	29153	4.3%
s	28544	4.2%
Other values (98)	215503	31.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	521300	76.4%
Uppercase Letter	83242	12.2%
Space Separator	66029	9.7%
Decimal Number	5995	0.9%
Other Punctuation	4442	0.7%
Dash Punctuation	824	0.1%
Connector Punctuation	213	< 0.1%
Close Punctuation	104	< 0.1%
Currency Symbol	94	< 0.1%
Math Symbol	92	< 0.1%
Other values (5)	105	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	65729	12.6%
n	55657	10.7%
e	54557	10.5%
a	50167	9.6%
i	43822	8.4%
t	42600	8.2%
d	30679	5.9%
r	29153	5.6%
s	28544	5.5%
l	26300	5.0%
Other values (18)	94092	18.0%

Uppercase Letter

Value	Count	Frequency (%)
C	18509	22.2%
L	10335	12.4%
D	9244	11.1%
P	5641	6.8%
R	3732	4.5%
M	3256	3.9%
S	3227	3.9%
B	3116	3.7%
H	2910	3.5%
I	2885	3.5%
Other values (18)	20387	24.5%

Other Punctuation

Value	Count	Frequency (%)
!	1123	25.3%
'	982	22.1%
.	712	16.0%
/	538	12.1%
,	435	9.8%
&	328	7.4%
%	95	2.1%
:	64	1.4%
"	56	1.3%
#	25	0.6%
Other values (5)	84	1.9%

Decimal Number

Value	Count	Frequency (%)
1	1691	28.2%
0	1677	28.0%
2	1105	18.4%
3	299	5.0%
5	256	4.3%
9	254	4.2%
4	216	3.6%
6	178	3.0%
8	169	2.8%
7	150	2.5%

Control

Value	Count	Frequency (%)
	4	21.1%
	4	21.1%
	4	21.1%
	2	10.5%
	2	10.5%
	1	5.3%
	1	5.3%
	1	5.3%

Math Symbol

Value	Count	Frequency (%)
+	53	57.6%
=	19	20.7%
<	9	9.8%
>	8	8.7%
~	2	2.2%
\|	1	1.1%

Modifier Symbol

Value	Count	Frequency (%)
´	1	33.3%
`	1	33.3%
^	1	33.3%

Close Punctuation

Value	Count	Frequency (%)
)	100	96.2%
]	4	3.8%

Open Punctuation

Value	Count	Frequency (%)
(	77	96.2%
[	3	3.8%

Space Separator

Value	Count	Frequency (%)
	66029	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	824	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	213	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	94	100.0%

Other Symbol

Value	Count	Frequency (%)
¦	2	100.0%

Other Number

Value	Count	Frequency (%)
³	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	604542	88.6%
Common	77898	11.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	65729	10.9%
n	55657	9.2%
e	54557	9.0%
a	50167	8.3%
i	43822	7.2%
t	42600	7.0%
d	30679	5.1%
r	29153	4.8%
s	28544	4.7%
l	26300	4.4%
Other values (46)	177334	29.3%

Common

Value	Count	Frequency (%)
	66029	84.8%
1	1691	2.2%
0	1677	2.2%
!	1123	1.4%
2	1105	1.4%
'	982	1.3%
-	824	1.1%
.	712	0.9%
/	538	0.7%
,	435	0.6%
Other values (42)	2782	3.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	682408	> 99.9%
None	32	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	66029	9.7%
o	65729	9.6%
n	55657	8.2%
e	54557	8.0%
a	50167	7.4%
i	43822	6.4%
t	42600	6.2%
d	30679	4.5%
r	29153	4.3%
s	28544	4.2%
Other values (84)	215471	31.6%

None

Value	Count	Frequency (%)
	4	12.5%
	4	12.5%
	4	12.5%
î	4	12.5%
â	4	12.5%
Ã	2	6.2%
¦	2	6.2%
	2	6.2%
	1	3.1%
´	1	3.1%
Other values (4)	4	12.5%

zip_code
Text

Distinct	823
Distinct (%)	2.1%
Missing	0
Missing (%)	0.0%
Memory size	310.4 KiB

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	198585
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	55 ?
Unique (%)	0.1%

Sample

1st row	146xx
2nd row	775xx
3rd row	481xx
4th row	088xx
5th row	441xx

Value	Count	Frequency (%)
100xx	597	1.5%
945xx	545	1.4%
112xx	516	1.3%
606xx	503	1.3%
070xx	473	1.2%
900xx	453	1.1%
021xx	397	1.0%
300xx	394	1.0%
926xx	371	0.9%
750xx	367	0.9%
Other values (813)	35101	88.4%

Most occurring characters

Value	Count	Frequency (%)
x	79434	40.0%
0	19773	10.0%
1	15629	7.9%
2	13589	6.8%
9	12681	6.4%
3	12356	6.2%
7	10257	5.2%
4	9121	4.6%
5	9020	4.5%
8	8670	4.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	119151	60.0%
Lowercase Letter	79434	40.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	19773	16.6%
1	15629	13.1%
2	13589	11.4%
9	12681	10.6%
3	12356	10.4%
7	10257	8.6%
4	9121	7.7%
5	9020	7.6%
8	8670	7.3%
6	8055	6.8%

Lowercase Letter

Value	Count	Frequency (%)
x	79434	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	119151	60.0%
Latin	79434	40.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	19773	16.6%
1	15629	13.1%
2	13589	11.4%
9	12681	10.6%
3	12356	10.4%
7	10257	8.6%
4	9121	7.7%
5	9020	7.6%
8	8670	7.3%
6	8055	6.8%

Latin

Value	Count	Frequency (%)
x	79434	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	198585	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
x	79434	40.0%
0	19773	10.0%
1	15629	7.9%
2	13589	6.8%
9	12681	6.4%
3	12356	6.2%
7	10257	5.2%
4	9121	4.6%
5	9020	4.5%
8	8670	4.4%

addr_state
Categorical

Distinct	50
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	310.4 KiB

CA	7099
NY	3812
FL	2866
TX	2727
NJ	1850
Other values (45)	21363

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	79434
Distinct characters	24
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	NY
2nd row	TX
3rd row	MI
4th row	NJ
5th row	OH

Common Values

Value	Count	Frequency (%)
CA	7099	17.9%
NY	3812	9.6%
FL	2866	7.2%
TX	2727	6.9%
NJ	1850	4.7%
IL	1525	3.8%
PA	1517	3.8%
VA	1407	3.5%
GA	1398	3.5%
MA	1340	3.4%
Other values (40)	14176	35.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
ca	7099	17.9%
ny	3812	9.6%
fl	2866	7.2%
tx	2727	6.9%
nj	1850	4.7%
il	1525	3.8%
pa	1517	3.8%
va	1407	3.5%
ga	1398	3.5%
ma	1340	3.4%
Other values (40)	14176	35.7%

Most occurring characters

Value	Count	Frequency (%)
A	15698	19.8%
C	10116	12.7%
N	7953	10.0%
L	5279	6.6%
M	4706	5.9%
Y	4220	5.3%
T	3892	4.9%
O	3451	4.3%
I	3097	3.9%
F	2866	3.6%
Other values (14)	18156	22.9%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	79434	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	15698	19.8%
C	10116	12.7%
N	7953	10.0%
L	5279	6.6%
M	4706	5.9%
Y	4220	5.3%
T	3892	4.9%
O	3451	4.3%
I	3097	3.9%
F	2866	3.6%
Other values (14)	18156	22.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	79434	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	15698	19.8%
C	10116	12.7%
N	7953	10.0%
L	5279	6.6%
M	4706	5.9%
Y	4220	5.3%
T	3892	4.9%
O	3451	4.3%
I	3097	3.9%
F	2866	3.6%
Other values (14)	18156	22.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	79434	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	15698	19.8%
C	10116	12.7%
N	7953	10.0%
L	5279	6.6%
M	4706	5.9%
Y	4220	5.3%
T	3892	4.9%
O	3451	4.3%
I	3097	3.9%
F	2866	3.6%
Other values (14)	18156	22.9%

dti
Real number (ℝ)

Distinct	2868
Distinct (%)	7.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	13.31513

Minimum	0
Maximum	29.99
Zeros	183
Zeros (%)	0.5%
Negative	0
Negative (%)	0.0%
Memory size	310.4 KiB

Quantile statistics

Minimum	0
5-th percentile	2.13
Q1	8.17
median	13.4
Q3	18.6
95-th percentile	23.84
Maximum	29.99
Range	29.99
Interquartile range (IQR)	10.43

Descriptive statistics

Standard deviation	6.6785936
Coefficient of variation (CV)	0.50157932
Kurtosis	-0.85201548
Mean	13.31513
Median Absolute Deviation (MAD)	5.21
Skewness	-0.028043331
Sum	528837
Variance	44.603612
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	183	0.5%
12	51	0.1%
18	45	0.1%
19.2	40	0.1%
13.2	39	0.1%
16.8	38	0.1%
12.48	38	0.1%
13.5	38	0.1%
6	37	0.1%
14.29	36	0.1%
Other values (2858)	39172	98.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	183	0.5%
0.01	3	< 0.1%
0.02	5	< 0.1%
0.03	2	< 0.1%
0.04	3	< 0.1%
0.05	2	< 0.1%
0.06	1	< 0.1%
0.07	5	< 0.1%
0.08	5	< 0.1%
0.09	3	< 0.1%

Value	Count	Frequency (%)
29.99	1	< 0.1%
29.95	1	< 0.1%
29.93	3	< 0.1%
29.92	2	< 0.1%
29.89	1	< 0.1%
29.88	1	< 0.1%
29.86	2	< 0.1%
29.85	1	< 0.1%
29.83	1	< 0.1%
29.82	1	< 0.1%

delinq_2yrs
Real number (ℝ)

ZEROS

Distinct	11
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.14651157

Minimum	0
Maximum	11
Zeros	35405
Zeros (%)	89.1%
Negative	0
Negative (%)	0.0%
Memory size	310.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	11
Range	11
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.49181152
Coefficient of variation (CV)	3.3568101
Kurtosis	39.4125
Mean	0.14651157
Median Absolute Deviation (MAD)	0
Skewness	5.0220352
Sum	5819
Variance	0.24187857
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
0	35405	89.1%
1	3303	8.3%
2	687	1.7%
3	220	0.6%
4	62	0.2%
5	22	0.1%
6	10	< 0.1%
7	4	< 0.1%
8	2	< 0.1%
9	1	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	35405	89.1%
1	3303	8.3%
2	687	1.7%
3	220	0.6%
4	62	0.2%
5	22	0.1%
6	10	< 0.1%
7	4	< 0.1%
8	2	< 0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
11	1	< 0.1%
9	1	< 0.1%
8	2	< 0.1%
7	4	< 0.1%
6	10	< 0.1%
5	22	0.1%
4	62	0.2%
3	220	0.6%
2	687	1.7%
1	3303	8.3%

earliest_cr_line
Date

Distinct	526
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	310.4 KiB

Minimum	1946-01-01 00:00:00
Maximum	2008-01-11 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

inq_last_6mths
Real number (ℝ)

ZEROS

Distinct	9
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.86919959

Minimum	0
Maximum	8
Zeros	19300
Zeros (%)	48.6%
Negative	0
Negative (%)	0.0%
Memory size	310.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	1
95-th percentile	3
Maximum	8
Range	8
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.0702193
Coefficient of variation (CV)	1.23127
Kurtosis	2.5621599
Mean	0.86919959
Median Absolute Deviation (MAD)	1
Skewness	1.3903909
Sum	34522
Variance	1.1453694
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
0	19300	48.6%
1	10971	27.6%
2	5812	14.6%
3	3048	7.7%
4	326	0.8%
5	146	0.4%
6	64	0.2%
7	35	0.1%
8	15	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	19300	48.6%
1	10971	27.6%
2	5812	14.6%
3	3048	7.7%
4	326	0.8%
5	146	0.4%
6	64	0.2%
7	35	0.1%
8	15	< 0.1%

Value	Count	Frequency (%)
8	15	< 0.1%
7	35	0.1%
6	64	0.2%
5	146	0.4%
4	326	0.8%
3	3048	7.7%
2	5812	14.6%
1	10971	27.6%
0	19300	48.6%

mths_since_last_delinq
Real number (ℝ)

MISSING ZEROS

Distinct	95
Distinct (%)	0.7%
Missing	25682
Missing (%)	64.7%
Infinite	0
Infinite (%)	0.0%
Mean	35.900962

Minimum	0
Maximum	120
Zeros	443
Zeros (%)	1.1%
Negative	0
Negative (%)	0.0%
Memory size	310.4 KiB

Quantile statistics

Minimum	0
5-th percentile	3
Q1	18
median	34
Q3	52
95-th percentile	75
Maximum	120
Range	120
Interquartile range (IQR)	34

Descriptive statistics

Standard deviation	22.02006
Coefficient of variation (CV)	0.6133557
Kurtosis	-0.84257778
Mean	35.900962
Median Absolute Deviation (MAD)	17
Skewness	0.30643687
Sum	503870
Variance	484.88302
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	443	1.1%
15	252	0.6%
23	247	0.6%
30	247	0.6%
24	241	0.6%
19	238	0.6%
38	237	0.6%
20	233	0.6%
18	231	0.6%
22	231	0.6%
Other values (85)	11435	28.8%
(Missing)	25682	64.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	443	1.1%
1	30	0.1%
2	101	0.3%
3	145	0.4%
4	153	0.4%
5	151	0.4%
6	192	0.5%
7	176	0.4%
8	168	0.4%
9	182	0.5%

Value	Count	Frequency (%)
120	1	< 0.1%
115	1	< 0.1%
107	1	< 0.1%
106	1	< 0.1%
103	2	< 0.1%
97	1	< 0.1%
96	1	< 0.1%
95	1	< 0.1%
89	1	< 0.1%
86	2	< 0.1%

mths_since_last_record
Real number (ℝ)

MISSING ZEROS

Distinct	111
Distinct (%)	4.0%
Missing	36931
Missing (%)	93.0%
Infinite	0
Infinite (%)	0.0%
Mean	69.698134

Minimum	0
Maximum	129
Zeros	670
Zeros (%)	1.7%
Negative	0
Negative (%)	0.0%
Memory size	310.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	22
median	90
Q3	104
95-th percentile	115
Maximum	129
Range	129
Interquartile range (IQR)	82

Descriptive statistics

Standard deviation	43.822529
Coefficient of variation (CV)	0.62874753
Kurtosis	-1.1565557
Mean	69.698134
Median Absolute Deviation (MAD)	20
Skewness	-0.71722858
Sum	194179
Variance	1920.4141
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	670	1.7%
104	61	0.2%
89	60	0.2%
113	59	0.1%
111	57	0.1%
94	55	0.1%
108	55	0.1%
87	54	0.1%
93	54	0.1%
88	53	0.1%
Other values (101)	1608	4.0%
(Missing)	36931	93.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	670	1.7%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
11	2	< 0.1%
12	1	< 0.1%
13	2	< 0.1%
14	1	< 0.1%
17	3	< 0.1%
18	2	< 0.1%

Value	Count	Frequency (%)
129	1	< 0.1%
120	1	< 0.1%
119	10	< 0.1%
118	36	0.1%
117	47	0.1%
116	41	0.1%
115	37	0.1%
114	51	0.1%
113	59	0.1%
112	39	0.1%

open_acc
Real number (ℝ)

Distinct	40
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9.2944079

Minimum	2
Maximum	44
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	310.4 KiB

Quantile statistics

Minimum	2
5-th percentile	3
Q1	6
median	9
Q3	12
95-th percentile	17
Maximum	44
Range	42
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	4.4002825
Coefficient of variation (CV)	0.47343333
Kurtosis	1.677572
Mean	9.2944079
Median Absolute Deviation (MAD)	3
Skewness	1.0037619
Sum	369146
Variance	19.362486
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=40)

Value	Count	Frequency (%)
7	4018	10.1%
6	3946	9.9%
8	3936	9.9%
9	3718	9.4%
10	3223	8.1%
5	3183	8.0%
11	2746	6.9%
4	2343	5.9%
12	2273	5.7%
13	1911	4.8%
Other values (30)	8420	21.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	605	1.5%
3	1493	3.8%
4	2343	5.9%
5	3183	8.0%
6	3946	9.9%
7	4018	10.1%
8	3936	9.9%
9	3718	9.4%
10	3223	8.1%
11	2746	6.9%

Value	Count	Frequency (%)
44	1	< 0.1%
42	1	< 0.1%
41	1	< 0.1%
39	1	< 0.1%
38	1	< 0.1%
36	2	< 0.1%
35	4	< 0.1%
34	5	< 0.1%
33	3	< 0.1%
32	4	< 0.1%

pub_rec
Categorical

IMBALANCE

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	310.4 KiB

0	37601
1	2056
2	51
3	7
4	2

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	39717
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	37601	94.7%
1	2056	5.2%
2	51	0.1%
3	7	< 0.1%
4	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	37601	94.7%
1	2056	5.2%
2	51	0.1%
3	7	< 0.1%
4	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	37601	94.7%
1	2056	5.2%
2	51	0.1%
3	7	< 0.1%
4	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	39717	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	37601	94.7%
1	2056	5.2%
2	51	0.1%
3	7	< 0.1%
4	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	39717	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	37601	94.7%
1	2056	5.2%
2	51	0.1%
3	7	< 0.1%
4	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	39717	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	37601	94.7%
1	2056	5.2%
2	51	0.1%
3	7	< 0.1%
4	2	< 0.1%

revol_bal
Real number (ℝ)

ZEROS

Distinct	21711
Distinct (%)	54.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	13382.528

Minimum	0
Maximum	149588
Zeros	994
Zeros (%)	2.5%
Negative	0
Negative (%)	0.0%
Memory size	310.4 KiB

Quantile statistics

Minimum	0
5-th percentile	321.8
Q1	3703
median	8850
Q3	17058
95-th percentile	41656.4
Maximum	149588
Range	149588
Interquartile range (IQR)	13355

Descriptive statistics

Standard deviation	15885.017
Coefficient of variation (CV)	1.1869967
Kurtosis	14.896523
Mean	13382.528
Median Absolute Deviation (MAD)	6027
Skewness	3.1908837
Sum	5.3151387 × 10⁸
Variance	2.5233375 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	994	2.5%
255	14	< 0.1%
298	14	< 0.1%
1	12	< 0.1%
682	11	< 0.1%
1763	9	< 0.1%
10	9	< 0.1%
39	9	< 0.1%
6	9	< 0.1%
1159	9	< 0.1%
Other values (21701)	38627	97.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	994	2.5%
1	12	< 0.1%
2	5	< 0.1%
3	6	< 0.1%
4	3	< 0.1%
5	8	< 0.1%
6	9	< 0.1%
7	5	< 0.1%
8	5	< 0.1%
9	8	< 0.1%

Value	Count	Frequency (%)
149588	1	< 0.1%
149527	1	< 0.1%
149000	1	< 0.1%
148829	1	< 0.1%
148804	1	< 0.1%
147897	1	< 0.1%
147750	1	< 0.1%
147559	1	< 0.1%
147451	1	< 0.1%
147365	1	< 0.1%

revol_util
Text

Distinct	1089
Distinct (%)	2.7%
Missing	50
Missing (%)	0.1%
Memory size	310.4 KiB

Length

Max length	6
Median length	6
Mean length	5.8869085
Min length	5

Characters and Unicode

Total characters	233516
Distinct characters	12
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	89 ?
Unique (%)	0.2%

Sample

1st row	52.70%
2nd row	39.50%
3rd row	68.60%
4th row	88.40%
5th row	23.20%

Value	Count	Frequency (%)
0.00	977	2.5%
0.20	63	0.2%
63.00	62	0.2%
0.10	58	0.1%
66.70	58	0.1%
40.70	58	0.1%
31.20	57	0.1%
61.00	57	0.1%
66.60	57	0.1%
46.40	57	0.1%
Other values (1079)	38163	96.2%

Most occurring characters

Value	Count	Frequency (%)
0	49323	21.1%
.	39667	17.0%
%	39667	17.0%
4	12082	5.2%
5	12063	5.2%
6	11989	5.1%
7	11949	5.1%
3	11885	5.1%
2	11550	4.9%
8	11419	4.9%
Other values (2)	21922	9.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	154182	66.0%
Other Punctuation	79334	34.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	49323	32.0%
4	12082	7.8%
5	12063	7.8%
6	11989	7.8%
7	11949	7.7%
3	11885	7.7%
2	11550	7.5%
8	11419	7.4%
1	11111	7.2%
9	10811	7.0%

Other Punctuation

Value	Count	Frequency (%)
.	39667	50.0%
%	39667	50.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	233516	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	49323	21.1%
.	39667	17.0%
%	39667	17.0%
4	12082	5.2%
5	12063	5.2%
6	11989	5.1%
7	11949	5.1%
3	11885	5.1%
2	11550	4.9%
8	11419	4.9%
Other values (2)	21922	9.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	233516	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	49323	21.1%
.	39667	17.0%
%	39667	17.0%
4	12082	5.2%
5	12063	5.2%
6	11989	5.1%
7	11949	5.1%
3	11885	5.1%
2	11550	4.9%
8	11419	4.9%
Other values (2)	21922	9.4%

total_acc
Real number (ℝ)

Distinct	82
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	22.088828

Minimum	2
Maximum	90
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	310.4 KiB

Quantile statistics

Minimum	2
5-th percentile	7
Q1	13
median	20
Q3	29
95-th percentile	43
Maximum	90
Range	88
Interquartile range (IQR)	16

Descriptive statistics

Standard deviation	11.401709
Coefficient of variation (CV)	0.51617534
Kurtosis	0.6937402
Mean	22.088828
Median Absolute Deviation (MAD)	7
Skewness	0.82737909
Sum	877302
Variance	129.99896
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
16	1471	3.7%
15	1462	3.7%
17	1457	3.7%
14	1445	3.6%
20	1428	3.6%
18	1422	3.6%
21	1412	3.6%
13	1385	3.5%
19	1341	3.4%
12	1325	3.3%
Other values (72)	25569	64.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	4	< 0.1%
3	182	0.5%
4	420	1.1%
5	552	1.4%
6	683	1.7%
7	828	2.1%
8	1006	2.5%
9	1080	2.7%
10	1193	3.0%
11	1278	3.2%

Value	Count	Frequency (%)
90	1	< 0.1%
87	1	< 0.1%
81	1	< 0.1%
80	1	< 0.1%
79	2	< 0.1%
78	1	< 0.1%
77	1	< 0.1%
76	2	< 0.1%
75	2	< 0.1%
74	1	< 0.1%

initial_list_status
Boolean

CONSTANT

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	38.9 KiB

False	39717

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
False	39717	100.0%

out_prncp
Real number (ℝ)

ZEROS

Distinct	1137
Distinct (%)	2.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	51.227887

Minimum	0
Maximum	6311.47
Zeros	38577
Zeros (%)	97.1%
Negative	0
Negative (%)	0.0%
Memory size	310.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	6311.47
Range	6311.47
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	375.17284
Coefficient of variation (CV)	7.3236055
Kurtosis	97.658555
Mean	51.227887
Median Absolute Deviation (MAD)	0
Skewness	9.22673
Sum	2034618
Variance	140754.66
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	38577	97.1%
2963.24	2	< 0.1%
827.13	2	< 0.1%
2277.11	2	< 0.1%
1972.6	2	< 0.1%
1347.43	1	< 0.1%
2540.31	1	< 0.1%
1978.94	1	< 0.1%
1231.2	1	< 0.1%
2614.43	1	< 0.1%
Other values (1127)	1127	2.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	38577	97.1%
10.26	1	< 0.1%
11.91	1	< 0.1%
13.28	1	< 0.1%
19.12	1	< 0.1%
27.41	1	< 0.1%
40.65	1	< 0.1%
50.46	1	< 0.1%
53	1	< 0.1%
57.67	1	< 0.1%

Value	Count	Frequency (%)
6311.47	1	< 0.1%
6308.37	1	< 0.1%
6307.37	1	< 0.1%
6307.15	1	< 0.1%
6219.16	1	< 0.1%
6219.11	1	< 0.1%
6182.86	1	< 0.1%
6071.68	1	< 0.1%
6034.37	1	< 0.1%
6027.7	1	< 0.1%

out_prncp_inv
Real number (ℝ)

ZEROS

Distinct	1138
Distinct (%)	2.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	50.989768

Minimum	0
Maximum	6307.37
Zeros	38577
Zeros (%)	97.1%
Negative	0
Negative (%)	0.0%
Memory size	310.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	6307.37
Range	6307.37
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	373.82446
Coefficient of variation (CV)	7.3313622
Kurtosis	98.040553
Mean	50.989768
Median Absolute Deviation (MAD)	0
Skewness	9.2437655
Sum	2025160.6
Variance	139744.72
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	38577	97.1%
827.13	2	< 0.1%
1972.6	2	< 0.1%
1664.64	2	< 0.1%
1228.61	1	< 0.1%
2614.43	1	< 0.1%
1323.6	1	< 0.1%
1049.49	1	< 0.1%
1232.19	1	< 0.1%
1243.6	1	< 0.1%
Other values (1128)	1128	2.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	38577	97.1%
10.26	1	< 0.1%
11.91	1	< 0.1%
13.28	1	< 0.1%
19.09	1	< 0.1%
27.41	1	< 0.1%
40.65	1	< 0.1%
50.46	1	< 0.1%
53	1	< 0.1%
57.67	1	< 0.1%

Value	Count	Frequency (%)
6307.37	1	< 0.1%
6306.96	1	< 0.1%
6298.11	1	< 0.1%
6276.75	1	< 0.1%
6219.16	1	< 0.1%
6183.55	1	< 0.1%
6182.86	1	< 0.1%
6067.33	1	< 0.1%
6034.37	1	< 0.1%
6027.7	1	< 0.1%

total_pymnt
Real number (ℝ)

Distinct	36591
Distinct (%)	92.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	12153.597

Minimum	0
Maximum	58563.68
Zeros	16
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	310.4 KiB

Quantile statistics

Minimum	0
5-th percentile	1887.954
Q1	5576.93
median	9899.64
Q3	16534.43
95-th percentile	30245.116
Maximum	58563.68
Range	58563.68
Interquartile range (IQR)	10957.5

Descriptive statistics

Standard deviation	9042.0408
Coefficient of variation (CV)	0.74398066
Kurtosis	1.9858943
Mean	12153.597
Median Absolute Deviation (MAD)	5016.76
Skewness	1.3398574
Sum	4.8270439 × 10⁸
Variance	81758501
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
11196.57	26	0.1%
6514.52	19	< 0.1%
10956.78	17	< 0.1%
13148.14	17	< 0.1%
0	16	< 0.1%
6717.95	16	< 0.1%
11784.23	16	< 0.1%
5478.39	15	< 0.1%
11907.35	14	< 0.1%
13517.36	13	< 0.1%
Other values (36581)	39548	99.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	16	< 0.1%
33.73	1	< 0.1%
35.71	1	< 0.1%
44.92	2	< 0.1%
44.96	1	< 0.1%
61.71	1	< 0.1%
62.86	1	< 0.1%
66.77	1	< 0.1%
67.32	1	< 0.1%
69.64	1	< 0.1%

Value	Count	Frequency (%)
58563.68	1	< 0.1%
58480.14	1	< 0.1%
57835.28	1	< 0.1%
56849.27	1	< 0.1%
56662.59	1	< 0.1%
56199.44	1	< 0.1%
55906.95	1	< 0.1%
55768.78	1	< 0.1%
55368.41	1	< 0.1%
55139	1	< 0.1%

total_pymnt_inv
Real number (ℝ)

Distinct	37518
Distinct (%)	94.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11567.149

Minimum	0
Maximum	58563.68
Zeros	165
Zeros (%)	0.4%
Negative	0
Negative (%)	0.0%
Memory size	310.4 KiB

Quantile statistics

Minimum	0
5-th percentile	1420.408
Q1	5112.31
median	9287.15
Q3	15798.81
95-th percentile	29627.236
Maximum	58563.68
Range	58563.68
Interquartile range (IQR)	10686.5

Descriptive statistics

Standard deviation	8942.6726
Coefficient of variation (CV)	0.77310948
Kurtosis	2.0297585
Mean	11567.149
Median Absolute Deviation (MAD)	4939.58
Skewness	1.3548376
Sum	4.5941246 × 10⁸
Variance	79971393
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	165	0.4%
6514.52	16	< 0.1%
5478.39	14	< 0.1%
13148.14	14	< 0.1%
10956.78	12	< 0.1%
6717.95	12	< 0.1%
11196.57	12	< 0.1%
7328.92	11	< 0.1%
13517.36	11	< 0.1%
5557.03	11	< 0.1%
Other values (37508)	39439	99.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	165	0.4%
0.54	1	< 0.1%
12.65	1	< 0.1%
18.97	1	< 0.1%
21.6	1	< 0.1%
25.18	1	< 0.1%
26.19	1	< 0.1%
33.73	1	< 0.1%
33.99	1	< 0.1%
35.71	1	< 0.1%

Value	Count	Frequency (%)
58563.68	1	< 0.1%
58438.37	1	< 0.1%
57628.73	1	< 0.1%
56622.12	1	< 0.1%
56515.16	1	< 0.1%
55867.02	1	< 0.1%
55579.28	1	< 0.1%
55066.92	1	< 0.1%
54675.68	1	< 0.1%
54315.94	1	< 0.1%

total_rec_prncp
Real number (ℝ)

Distinct	7976
Distinct (%)	20.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9793.3488

Minimum	0
Maximum	35000.02
Zeros	74
Zeros (%)	0.2%
Negative	0
Negative (%)	0.0%
Memory size	310.4 KiB

Quantile statistics

Minimum	0
5-th percentile	1339.842
Q1	4600
median	8000
Q3	13653.26
95-th percentile	24999.982
Maximum	35000.02
Range	35000.02
Interquartile range (IQR)	9053.26

Descriptive statistics

Standard deviation	7065.5221
Coefficient of variation (CV)	0.7214613
Kurtosis	1.1033555
Mean	9793.3488
Median Absolute Deviation (MAD)	4000
Skewness	1.1182545
Sum	3.8896243 × 10⁸
Variance	49921603
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10000	2293	5.8%
12000	1805	4.5%
5000	1702	4.3%
6000	1637	4.1%
15000	1400	3.5%
8000	1318	3.3%
20000	1059	2.7%
4000	956	2.4%
3000	883	2.2%
7000	851	2.1%
Other values (7966)	25813	65.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	74	0.2%
21.21	1	< 0.1%
21.93	1	< 0.1%
22.24	1	< 0.1%
22.5	1	< 0.1%
24.87	1	< 0.1%
30.32	1	< 0.1%
32.51	1	< 0.1%
34.5	1	< 0.1%
35.14	1	< 0.1%

Value	Count	Frequency (%)
35000.02	2	< 0.1%
35000.01	1	< 0.1%
35000	363	0.9%
34999.99	5	< 0.1%
34999.98	1	< 0.1%
34999.97	1	< 0.1%
34911.47	1	< 0.1%
34800	1	< 0.1%
34793.43	1	< 0.1%
34675	1	< 0.1%

total_rec_int
Real number (ℝ)

Distinct	35148
Distinct (%)	88.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2263.6632

Minimum	0
Maximum	23563.68
Zeros	71
Zeros (%)	0.2%
Negative	0
Negative (%)	0.0%
Memory size	310.4 KiB

Quantile statistics

Minimum	0
5-th percentile	186.168
Q1	662.18
median	1348.91
Q3	2833.4
95-th percentile	7575.812
Maximum	23563.68
Range	23563.68
Interquartile range (IQR)	2171.22

Descriptive statistics

Standard deviation	2608.112
Coefficient of variation (CV)	1.1521643
Kurtosis	9.6882784
Mean	2263.6632
Median Absolute Deviation (MAD)	866.01
Skewness	2.6687472
Sum	89905910
Variance	6802248
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	71	0.2%
1196.57	26	0.1%
514.52	19	< 0.1%
1784.23	17	< 0.1%
717.95	17	< 0.1%
1148.14	17	< 0.1%
956.78	17	< 0.1%
478.39	16	< 0.1%
1907.35	14	< 0.1%
1435.9	13	< 0.1%
Other values (35138)	39490	99.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	71	0.2%
6.22	1	< 0.1%
6.27	1	< 0.1%
7.19	1	< 0.1%
7.2	2	< 0.1%
8.23	1	< 0.1%
9.34	1	< 0.1%
9.49	1	< 0.1%
9.58	2	< 0.1%
10.26	1	< 0.1%

Value	Count	Frequency (%)
23563.68	1	< 0.1%
23506.56	1	< 0.1%
23480.14	1	< 0.1%
22835.28	1	< 0.1%
22716.42	1	< 0.1%
22594.16	1	< 0.1%
22593.34	1	< 0.1%
22593.04	1	< 0.1%
22587.51	1	< 0.1%
22422.33	1	< 0.1%

total_rec_late_fee
Real number (ℝ)

ZEROS

Distinct	801
Distinct (%)	2.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.3630194

Minimum	0
Maximum	180.2
Zeros	37671
Zeros (%)	94.8%
Negative	0
Negative (%)	0.0%
Memory size	310.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	14.92
Maximum	180.2
Range	180.2
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	7.2899931
Coefficient of variation (CV)	5.3484149
Kurtosis	100.85133
Mean	1.3630194
Median Absolute Deviation (MAD)	0
Skewness	8.4295237
Sum	54135.04
Variance	53.143999
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	37671	94.8%
15	604	1.5%
30	123	0.3%
14.98	68	0.2%
14.99	53	0.1%
14.97	42	0.1%
45	38	0.1%
14.96	33	0.1%
14.94	27	0.1%
14.95	24	0.1%
Other values (791)	1034	2.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	37671	94.8%
0.01	1	< 0.1%
0.06	1	< 0.1%
0.07	1	< 0.1%
0.1	1	< 0.1%
0.14	1	< 0.1%
0.18	2	< 0.1%
0.27	1	< 0.1%
0.3	1	< 0.1%
0.65	1	< 0.1%

Value	Count	Frequency (%)
180.2	1	< 0.1%
166.43	1	< 0.1%
165.69	1	< 0.1%
146.6	1	< 0.1%
146.04	1	< 0.1%
134.07	1	< 0.1%
130.6	1	< 0.1%
130.47	1	< 0.1%
127.79	1	< 0.1%
121.93	1	< 0.1%

recoveries
Real number (ℝ)

ZEROS

Distinct	4040
Distinct (%)	10.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	95.221624

Minimum	0
Maximum	29623.35
Zeros	35499
Zeros (%)	89.4%
Negative	0
Negative (%)	0.0%
Memory size	310.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	362.418
Maximum	29623.35
Range	29623.35
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	688.74477
Coefficient of variation (CV)	7.233071
Kurtosis	379.37757
Mean	95.221624
Median Absolute Deviation (MAD)	0
Skewness	16.519378
Sum	3781917.2
Variance	474369.36
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	35499	89.4%
10.4	4	< 0.1%
11.29	4	< 0.1%
11.2	3	< 0.1%
12.09	3	< 0.1%
44.92	3	< 0.1%
10.13	3	< 0.1%
14.61	3	< 0.1%
13	3	< 0.1%
13.93	3	< 0.1%
Other values (4030)	4189	10.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	35499	89.4%
6.3	1	< 0.1%
6.31	1	< 0.1%
8.19	1	< 0.1%
8.36	1	< 0.1%
8.41	1	< 0.1%
8.46	1	< 0.1%
8.56	1	< 0.1%
8.71	1	< 0.1%
8.88	1	< 0.1%

Value	Count	Frequency (%)
29623.35	1	< 0.1%
22943.37	1	< 0.1%
21810.31	1	< 0.1%
20006.53	1	< 0.1%
19915.67	1	< 0.1%
19508.26	1	< 0.1%
18694.32	1	< 0.1%
16560.06	1	< 0.1%
16502.69	1	< 0.1%
16268.35	1	< 0.1%

collection_recovery_fee
Real number (ℝ)

SKEWED ZEROS

Distinct	2118
Distinct (%)	5.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	12.406114

Minimum	0
Maximum	7002.19
Zeros	35935
Zeros (%)	90.5%
Negative	0
Negative (%)	0.0%
Memory size	310.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	5.152
Maximum	7002.19
Range	7002.19
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	148.6716
Coefficient of variation (CV)	11.983736
Kurtosis	821.30052
Mean	12.406114
Median Absolute Deviation (MAD)	0
Skewness	25.029416
Sum	492733.63
Variance	22103.245
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	35935	90.5%
2	12	< 0.1%
1.2	12	< 0.1%
0.8	11	< 0.1%
1.69	10	< 0.1%
3.23	10	< 0.1%
2.08	10	< 0.1%
3.71	9	< 0.1%
3.2	9	< 0.1%
1.6	9	< 0.1%
Other values (2108)	3690	9.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	35935	90.5%
0.06	1	< 0.1%
0.07	1	< 0.1%
0.13	1	< 0.1%
0.14	1	< 0.1%
0.16	1	< 0.1%
0.2	3	< 0.1%
0.21	1	< 0.1%
0.22	1	< 0.1%
0.23	2	< 0.1%

Value	Count	Frequency (%)
7002.19	1	< 0.1%
6972.59	1	< 0.1%
6543.04	1	< 0.1%
5774.8	1	< 0.1%
5602.72	1	< 0.1%
5569.92	1	< 0.1%
5216.74	1	< 0.1%
5036.01	1	< 0.1%
4902.08	1	< 0.1%
4900.75	1	< 0.1%

last_pymnt_d
Date

Distinct	101
Distinct (%)	0.3%
Missing	71
Missing (%)	0.2%
Memory size	310.4 KiB

Minimum	2008-01-01 00:00:00
Maximum	2016-01-05 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

last_pymnt_amnt
Real number (ℝ)

Distinct	34930
Distinct (%)	87.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2678.8262

Minimum	0
Maximum	36115.2
Zeros	74
Zeros (%)	0.2%
Negative	0
Negative (%)	0.0%
Memory size	310.4 KiB

Quantile statistics

Minimum	0
5-th percentile	43.34
Q1	218.68
median	546.14
Q3	3293.16
95-th percentile	12183.944
Maximum	36115.2
Range	36115.2
Interquartile range (IQR)	3074.48

Descriptive statistics

Standard deviation	4447.136
Coefficient of variation (CV)	1.6601062
Kurtosis	8.8678197
Mean	2678.8262
Median Absolute Deviation (MAD)	449.45
Skewness	2.7121222
Sum	1.0639494 × 10⁸
Variance	19777019
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	74	0.2%
276.06	21	0.1%
200	17	< 0.1%
50	16	< 0.1%
100	15	< 0.1%
400	12	< 0.1%
773.44	12	< 0.1%
786.01	11	< 0.1%
500	11	< 0.1%
150	11	< 0.1%
Other values (34920)	39517	99.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	74	0.2%
0.01	1	< 0.1%
0.02	1	< 0.1%
0.03	1	< 0.1%
0.13	1	< 0.1%
0.16	1	< 0.1%
0.2	1	< 0.1%
0.24	1	< 0.1%
0.25	1	< 0.1%
0.28	1	< 0.1%

Value	Count	Frequency (%)
36115.2	1	< 0.1%
35613.68	1	< 0.1%
35596.41	1	< 0.1%
35479.89	1	< 0.1%
35471.86	1	< 0.1%
35395.59	1	< 0.1%
35339.05	1	< 0.1%
35337.09	1	< 0.1%
35322.96	1	< 0.1%
35322.6	1	< 0.1%

next_pymnt_d
Date

MISSING

Distinct	2
Distinct (%)	0.2%
Missing	38577
Missing (%)	97.1%
Memory size	310.4 KiB

Minimum	2016-01-06 00:00:00
Maximum	2016-01-07 00:00:00

Histogram

Histogram with fixed size bins (bins=2)

last_credit_pull_d
Date

Distinct	106
Distinct (%)	0.3%
Missing	2
Missing (%)	< 0.1%
Memory size	310.4 KiB

Minimum	2007-01-05 00:00:00
Maximum	2016-01-05 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

application_type
Categorical

CONSTANT

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	310.4 KiB

INDIVIDUAL	39717

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	397170
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	INDIVIDUAL
2nd row	INDIVIDUAL
3rd row	INDIVIDUAL
4th row	INDIVIDUAL
5th row	INDIVIDUAL

Common Values

Value	Count	Frequency (%)
INDIVIDUAL	39717	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
individual	39717	100.0%

Most occurring characters

Value	Count	Frequency (%)
I	119151	30.0%
D	79434	20.0%
N	39717	10.0%
V	39717	10.0%
U	39717	10.0%
A	39717	10.0%
L	39717	10.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	397170	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
I	119151	30.0%
D	79434	20.0%
N	39717	10.0%
V	39717	10.0%
U	39717	10.0%
A	39717	10.0%
L	39717	10.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	397170	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
I	119151	30.0%
D	79434	20.0%
N	39717	10.0%
V	39717	10.0%
U	39717	10.0%
A	39717	10.0%
L	39717	10.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	397170	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
I	119151	30.0%
D	79434	20.0%
N	39717	10.0%
V	39717	10.0%
U	39717	10.0%
A	39717	10.0%
L	39717	10.0%

pub_rec_bankruptcies
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	697
Missing (%)	1.8%
Memory size	310.4 KiB

0.0	37339
1.0	1674
2.0	7

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	117060
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.0
2nd row	2.0
3rd row	2.0
4th row	2.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
0.0	37339	94.0%
1.0	1674	4.2%
2.0	7	< 0.1%
(Missing)	697	1.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	37339	95.7%
1.0	1674	4.3%
2.0	7	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	76359	65.2%
.	39020	33.3%
1	1674	1.4%
2	7	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	78040	66.7%
Other Punctuation	39020	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	76359	97.8%
1	1674	2.1%
2	7	< 0.1%

Other Punctuation

Value	Count	Frequency (%)
.	39020	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	117060	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	76359	65.2%
.	39020	33.3%
1	1674	1.4%
2	7	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	117060	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	76359	65.2%
.	39020	33.3%
1	1674	1.4%
2	7	< 0.1%

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	id	member_id	loan_amnt	funded_amnt	funded_amnt_inv	term	int_rate	installment	grade	sub_grade	emp_title	emp_length	home_ownership	annual_inc	verification_status	issue_d	loan_status	pymnt_plan	url	desc	purpose	title	zip_code	addr_state	dti	delinq_2yrs	earliest_cr_line	inq_last_6mths	mths_since_last_delinq	open_acc	revol_bal	revol_util	total_acc	initial_list_status	total_pymnt	total_pymnt_inv	total_rec_prncp	total_rec_int	total_rec_late_fee	last_pymnt_d	last_pymnt_amnt	next_pymnt_d	last_credit_pull_d	application_type	pub_rec_bankruptcies
0	69001	265533	15000.0	15000.0	14875.00	36 months	8.94%	476.58	A	A5	NaN	< 1 year	MORTGAGE	110000.0	Not Verified	01-09-2009	Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=69001	Taking advantage of excellent credit to pay off credit card	credit_card	Revolving Debt	146xx	NY	7.07	0.0	01-11-1991	1	0.0	6	7586.0	52.70%	19	f	17135.51	16992.71	15000.00	2135.51	0.00	01-07-2012	1919.13	NaN	01-08-2015	INDIVIDUAL	NaN
1	59006	154254	3000.0	3000.0	2988.24	36 months	14.26%	102.92	C	C5	NaN	3 years	MORTGAGE	80800.0	Not Verified	01-09-2009	Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=59006	I am seeking to refinance a credit account which I closed with a balance when I rejected the new terms of the cardmember agreement. This closed account is adversely affecting my credit utilization percentage and I would prefer to move it to a fixed-rate loan. I am a software developer who has been in a stable position with the same company since 2004. I am up-to-date on all payments and am seeking only to reduce the interest rate of this debt. Thank you for your consideration.	credit_card	Rejecting new cardmember agreement	775xx	TX	14.97	1.0	01-07-1998	0	13.0	13	4740.0	39.50%	23	f	3705.00	3688.85	3000.00	705.00	0.00	01-10-2012	111.23	NaN	01-09-2012	INDIVIDUAL	NaN
2	65426	232106	4000.0	4000.0	3892.26	36 months	11.14%	131.22	B	B1	Infotrieve, Inc.	< 1 year	MORTGAGE	60000.0	Not Verified	01-08-2009	Charged Off	n	https://lendingclub.com/browse/loanDetail.action?loan_id=65426	We currently have one car that is 19 years old and one that is 8 years old. The 19 year old car, which is the car my husband drives to his job at a local university, was just given about a month to live by our mechanic. We've gotten an amazing amount of use out of it but we will need to be sure to get a reliable vehicle before that one gives out. We hope to be able to donate it with some life left in it to a local non-profit. That is what we have done in the past with our old cars. Our mechanic will help us find a used car in great shape for around $10,000. We have saved about half of that but we really need to make a purchase soon. It would be fabulous to get a loan for a lower percentage rate than what our credit union offers. Currently that is probably about 11% for older vehicles. Thanks for considering us.	car	djp	481xx	MI	11.08	0.0	01-08-1995	0	0.0	14	24220.0	68.60%	33	f	2755.20	2615.80	2170.35	584.85	0.00	01-06-2011	131.22	NaN	01-05-2016	INDIVIDUAL	NaN
3	68926	264924	2300.0	2300.0	589.61	36 months	13.17%	77.69	D	D2	UBS	10+ years	RENT	37152.0	Verified	01-08-2008	Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=68926	I need a loan to cover moving expenses such as buying new furniture, deposit on the apt etc.	moving	tee_cee	088xx	NJ	2.26	0.0	01-12-1997	0	46.0	4	2211.0	88.40%	13	f	2796.60	643.50	2300.00	496.60	0.00	01-09-2011	77.78	NaN	01-05-2016	INDIVIDUAL	NaN
4	69251	267771	6000.0	6000.0	500.00	36 months	8.00%	188.02	A	A3	NaN	< 1 year	MORTGAGE	75000.0	Not Verified	01-05-2008	Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=69251	Looking to pay bills with a lower rate and try a new type of lending. Please note my perfect credit history and ability to pay the account. Many Thanks Heather	other	NewOrganic	441xx	OH	16.08	0.0	01-12-1994	1	0.0	16	29797.0	23.20%	39	f	6783.75	565.31	5999.99	768.76	15.00	01-05-2011	189.36	NaN	01-05-2011	INDIVIDUAL	NaN
5	65640	234569	5000.0	2650.0	495.49	36 months	11.34%	87.19	C	C2	kmex/univision	10+ years	MORTGAGE	90000.0	Not Verified	01-05-2008	Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=65640	This money would be used to finish a remodeling kitchen project.	home_improvement	producer46	912xx	CA	17.25	0.0	01-05-1997	1	0.0	20	69909.0	51.10%	51	f	3153.80	512.18	2649.99	488.82	15.00	01-05-2011	87.83	NaN	01-04-2015	INDIVIDUAL	NaN
6	69924	274280	10000.0	10000.0	8790.33	36 months	13.55%	339.60	D	D4	GAP	3 years	RENT	100000.0	Not Verified	01-03-2008	Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=69924	Hello friends, I am trying to pay off couple of credit cards which has raised the APR recently, increasing my monthly payments Thanks Sunny	credit_card	Trying to pay off high interest cards	941xx	CA	7.94	0.0	01-11-2002	0	0.0	11	21162.0	57.70%	14	f	12225.41	10738.03	10000.00	2225.41	0.00	01-04-2011	359.55	NaN	01-02-2016	INDIVIDUAL	NaN
7	69828	272798	15000.0	15000.0	13138.20	36 months	8.63%	474.42	A	A5	State of Michigan	10+ years	OWN	50000.0	Not Verified	01-03-2008	Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=69828	We have owned and operated a year round greenhouse/nursery, organic food processing operation in the the central Michigan area since 1990. Last season we had the opportunity to purchase 12,000 square foot of 4 year old greenhouse space, and we are seeking "investors" who would be willing to help us with reconstruction costs, so we will have the added greenhouse space for organic, sustainable, local food production. We also intend to make equipment upgrades to our commercial processing kitchen.	other	Business Expansion	488xx	MI	2.59	0.0	01-06-1975	0	0.0	4	5656.0	27.60%	25	f	17208.18	15033.50	15000.00	2113.30	94.88	01-08-2011	38.20	NaN	01-08-2011	INDIVIDUAL	NaN
8	282707	282641	10000.0	10000.0	8741.04	36 months	9.45%	320.10	B	B1	Brightstar Corporation	2 years	RENT	70000.0	Not Verified	01-03-2008	Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=282707	I'm a successful 25 year old sales rep. This loan is for my education, but not books or a common education, more like a street smart education and experience. I'm practicing how to raise capital/borrow money to create profitable returns. This is a skill I want to master to create wealth. I'm also enjoying the experience as I don't "need" the money. I don't have a mortgage, my income exceeds my expenses and I'm very meticulous about spending. I have good control over myself mentally, spiritually and emotionally, therefore I have good control over my money. My only debt is a car lease and a interest free care credit loan for my lasik (i could have paid cash but why not get interest free financing). My credit card balances are paid in full during their billing cycle - they are used solely to build credit and get points. I don't have school loans as I did my undergrad as a Fulbright Scholar, and MBA's are overrated. So I'm pretty liquid. Even my wife's diamond ring is paid in full, and her parents paid for the wedding. So why borrow if I have money? Again, this is for the experience, I can comfortably afford the loan and interest, but I think this experience will make me better in business. There is bad debt, when you buy liabilities or things that depreciate. This is good debt, the kind that puts money in my pocket building an asset. Thanks for your time, Carlos	educational	Social Entrepreneur	600xx	IL	9.38	0.0	01-02-2003	0	0.0	8	8850.0	32.30%	8	f	11466.39	10004.77	10000.00	1466.40	0.00	01-02-2011	306.86	NaN	01-02-2011	INDIVIDUAL	NaN
9	282569	274158	12000.0	12000.0	6475.00	36 months	13.55%	407.52	D	D4	Wachovia Bank	< 1 year	MORTGAGE	55000.0	Not Verified	01-03-2008	Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=282569	A year ago I purchased my dream home and with that purchase, credit card debt slowly built up. Unfortunately the rates on these cards are through the roof. My plan was to take a year and agressively pay off the balances but rates are so high. When compounding interest enters into the equation I end up only paying off a small percentage of the principal. For the past year I have been paying $400-500 a month towards credit debt and need a solution to compounding interest. The idea of having a fixed rate is exactly what I am looking. Yes, the rates may be higher then traditional lenders but I like the concept of this new type of lending because there is a little more forgiveness towards the borrower. In fact I am a Financial Center Manager with Wachovia Bank but I have run into DTI problems on there grading scale for a loan.	credit_card	Refinance credit card debt	191xx	PA	14.99	0.0	01-11-1995	2	61.0	12	10918.0	59.00%	45	f	13861.23	7479.29	12000.00	1861.23	0.00	01-08-2009	7355.37	NaN	01-09-2009	INDIVIDUAL	NaN

	id	member_id	loan_amnt	funded_amnt	funded_amnt_inv	term	int_rate	installment	grade	sub_grade	emp_title	emp_length	home_ownership	annual_inc	verification_status	issue_d	loan_status	pymnt_plan	url	desc	purpose	title	zip_code	addr_state	dti	delinq_2yrs	earliest_cr_line	inq_last_6mths	mths_since_last_delinq	mths_since_last_record	open_acc	revol_bal	revol_util	total_acc	initial_list_status	total_pymnt	total_pymnt_inv	total_rec_prncp	total_rec_int	total_rec_late_fee	last_pymnt_d	last_pymnt_amnt	next_pymnt_d	last_credit_pull_d	application_type
39707	286120	284863	12000.0	12000.0	9542.16	36 months	13.55%	407.52	D	D4	Bank	2 years	MORTGAGE	130000.0	Not Verified	01-03-2008	Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=286120	These funds will be used to buy an equity position in 40 acres of pine trees. The timber has been valued at $58,000. I will be a 50% partner in the tree farm. I will be putting $8,000 of personal cash towards the deal. This will be the second deal of similar nature for me. I have a great job in the financial industry and am a good candidate for this loan. Due to the volatility in real estate and the stock market, commodities such as timber are solid investments.	other	Timber Investment	392xx	MS	8.32	0.0	01-10-1999	0	24.0	NaN	9	22044.0	81.60%	21	f	14689.66	11666.64	12000.00	2670.67	18.99	01-03-2011	434.37	NaN	01-03-2011	INDIVIDUAL
39708	285781	285778	14000.0	14000.0	10100.00	36 months	9.45%	448.14	B	B1	Citibank	4 years	RENT	42000.0	Not Verified	01-03-2008	Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=285781	I have been trying to pay off a couple of credit card debts and have consolidated them into two loans, but with 19.99% interest rates I feel most of the payments are going to interest. I would prefer a lower interest rate and be done with it in 3 years or less.	debt_consolidation	Finally Over	107xx	NY	5.31	0.0	01-11-1999	0	51.0	NaN	12	11556.0	24.30%	18	f	14715.67	10616.43	14000.00	715.67	0.00	01-10-2008	12028.28	NaN	01-10-2008	INDIVIDUAL
39709	285738	285732	4000.0	4000.0	3000.00	36 months	10.39%	129.81	B	B4	Wachovia Corp.	< 1 year	MORTGAGE	53000.0	Not Verified	01-03-2008	Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=285738	I need to pay high interest capital one card so that it would make sense to have a higher payment to pay it off sooner.	credit_card	Interest rate too high on credit card	917xx	CA	13.09	0.0	01-01-1996	1	44.0	NaN	11	1308.0	6.90%	25	f	4383.95	3287.98	4000.00	383.95	0.00	01-04-2009	2827.72	NaN	01-12-2012	INDIVIDUAL
39710	285386	285383	8000.0	8000.0	6525.00	36 months	8.63%	253.03	A	A5	Harland Electric	10+ years	MORTGAGE	54080.0	Not Verified	01-03-2008	Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=285386	loan used to pay off credit cards and pay for home improvements	other	personal loan	014xx	MA	10.78	0.0	01-11-1998	1	NaN	NaN	7	5623.0	67.70%	14	f	9045.35	7377.70	8000.00	1045.35	0.00	01-07-2010	2218.89	NaN	01-11-2012	INDIVIDUAL
39711	284637	284630	12000.0	12000.0	8425.00	36 months	12.29%	400.24	C	C5	LLC	3 years	RENT	90000.0	Not Verified	01-03-2008	Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=284637	I need this loan at a better rate to consolidate my debts and pay one low monthly installment.	credit_card	Consolidate Debts	750xx	TX	8.81	0.0	01-10-2001	1	NaN	NaN	13	15486.0	33.10%	13	f	12586.96	8837.09	12000.00	586.96	0.00	01-10-2008	114.04	NaN	01-09-2008	INDIVIDUAL
39712	284207	284204	7500.0	7500.0	5387.50	36 months	11.97%	249.00	C	C4	SOCIAL SERVICES	< 1 year	OTHER	19200.0	Not Verified	01-03-2008	Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=284207	Need load to consolidate debt.	debt_consolidation	DEBT CONSOLIDATION	908xx	CA	10.94	0.0	01-12-2002	3	NaN	NaN	12	6450.0	70.90%	13	f	8964.00	6395.15	7499.99	1464.01	0.00	01-03-2011	249.00	NaN	01-05-2016	INDIVIDUAL
39713	284136	284125	25000.0	25000.0	8933.60	36 months	9.76%	803.87	B	B2	Mayfield City School District	7 years	MORTGAGE	70000.0	Not Verified	01-03-2008	Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=284136	I am trying to secure this loan to increase my investment portfolio. I have between $1000.00 to $1500.00 that I have been putting towards my investments, but with the market like it is, I would like to invest in more companies now and use the $1000.00 to $1500.00 of excess cash I make each month towards this loan. This way, I would have a decent amount of cash to invest in the coming months, and the payemnts on my loan would be under what I am investing per month currently, making it easy to pay back this loan. Of course, I know there is interest on this loan, but I believe that the I can realize gains in the market over the next three years that will be more than the interest I am paying for this loan. I also currently have no outstanding loans other than a morgage payment and have never carried an overdue balance or have had a late payment on any of my credit cards.	other	Investing	440xx	OH	4.92	0.0	01-11-1996	0	NaN	NaN	7	3114.0	11.30%	13	f	28900.64	9975.25	25000.00	3900.64	0.00	01-01-2011	45.94	NaN	01-01-2011	INDIVIDUAL
39714	283826	283823	15000.0	15000.0	9019.30	36 months	9.45%	480.15	B	B1	US Army	10+ years	RENT	62400.0	Not Verified	01-03-2008	Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=283826	pay off credit card and place some money in the savings	debt_consolidation	drodo	136xx	NY	6.46	0.0	01-11-1995	2	NaN	NaN	4	5196.0	34.60%	14	f	17332.24	10261.03	15000.00	2308.23	24.01	01-02-2011	997.37	NaN	01-03-2011	INDIVIDUAL
39715	283707	211765	20000.0	20000.0	4031.29	36 months	11.34%	658.00	C	C2	Jada Beauty	1 year	OTHER	55000.0	Not Verified	01-03-2008	Charged Off	n	https://lendingclub.com/browse/loanDetail.action?loan_id=283707	This loan will be used to expand my growing business. We are the first in our state to specialize in Hair Threading and Henna tattoo. We have outgrown our mall location and need to expand to a bigger location to accommodate our growing clientele. This loan will be used to put money down on a bigger location and add new services too like manicures,facials, and pedicures with and Asian twist. I am a experinced licensed professional with over 20 year experince. My financial situation: I am a good candidate for this loan because I have worked very hard to have good credit and paying off my debt is very important to me. I will also be using my own savings in this venture	other	Expanding my growing Business	852xx	AZ	5.19	2.0	01-03-1985	0	21.0	NaN	8	5482.0	17.40%	28	f	6767.46	1369.23	5044.60	1722.86	0.00	01-02-2009	658.00	NaN	01-09-2009	INDIVIDUAL
39716	283106	264548	11000.0	11000.0	9375.00	36 months	12.29%	366.89	C	C5	Kaiser Permanente	4 years	MORTGAGE	36400.0	Not Verified	01-03-2008	Fully Paid	n	https://lendingclub.com/browse/loanDetail.action?loan_id=283106	Want to pay off all credit card debt acquired while in college.	debt_consolidation	Operation Freedom From Debt	925xx	CA	11.60	0.0	01-01-2004	2	NaN	NaN	6	10765.0	60.50%	9	f	13130.98	11191.18	11000.00	2130.98	0.00	01-09-2010	2508.69	NaN	01-10-2015	INDIVIDUAL

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